Spektrum supports apex purchasers (NATO, UN, EU, and National Government and Defence) and their Tier 1 supplier ecosystem with a wide range of specialist services. We provide our clients with professional services, specialised aerospace and defence sales, delivery, and operational subject matter expertise. We are looking for personnel to join our team and support key client projects.

Who we are supporting 

The NATO Communication and Information Agency (NCIA) is responsible for providing secure and effective communications and information technology (IT) services to NATO's member countries and its partners. The agency was established in 2012 and is headquartered in Brussels, Belgium.

The NCIA provides a wide range of services, including:

• Cyber Security: The NCIA provides advanced cybersecurity solutions to protect NATO's communication networks and information systems against cyber threats.
• Command and Control Systems: The NCIA develops and maintains the systems used by NATO's military commanders to plan and execute operations.
• Satellite Communications: The NCIA provides satellite communications services to enable secure and reliable communications between NATO forces.
• Electronic Warfare: The NCIA provides electronic warfare services to support NATO's mission to detect, deny, and defeat threats to its communication networks.
• Information Management: The NCIA manages NATO's information technology infrastructure, including its databases, applications, and servers.

Overall, the NCIA plays a critical role in ensuring the security and effectiveness of NATO's communication and information technology capabilities.

The program

Assistance and Advisory Service (AAS)

The NATO Communications and Information Agency (NCI Agency) is NATO’s principal C3 capability deliverer and CIS service provider. It provides, maintains and defends the NATO enterprise-wide information technology infrastructure to enable Allies to consult together under Article IV, and, when required, stand together in the face of attack under Article V.

To provide these critical services, in the modern evolving dynamic environment the NCI Agency needs to build and maintain high performance-engaged workforce. The NCI Agency workforce strategically consists of three major categorise's: NATO International Civilians (NIC)'s, Military (Mil), and Interim Workforce Consultants (IWC)'s. The IWCs are a critical part of the overall NCI Agency workforce and make up approximately 15 percent of the total workforce.

Role ID – CDT-0012

Role Duties and Responsibilities

Cyber Digital Transformation Division (CDT) drives the end-to-end transformation of NATO’s Military and Non-Military Instruments of Power, enabled by digital technologies, to enhance the Alliance’s ability to execute its core tasks in a Multi-Domain Operations (MDO) environment. In particular, increase Alliance Digital Interoperability, support the modernisation of NATO’s Standardization processes, and enable the adoption of data exploitation capabilities and AI.

The contractor shall support NATO’s digital transformation by developing and advancing communications and networking standards that enable persistent, secure, and policy- compliant consultation, command, and control networks in support of Multi-Domain Operations (MDO).

We are looking for a well-rounded professional with excellent technical and communication skills as well as experience in the military domain. NATO knowledge would constitute and asset.

Essential Skills, Experience and Certifications

• The contractor shall design, develop, integrate, and maintain ontologies supporting NATO operational and technical use cases. This includes ensuring compliance with agreed standards, enabling interoperability across systems, and managing ontology artefacts through controlled lifecycle processes, including versioning, validation, and updates.
• The contractor shall develop and maintain semantic artefacts, including taxonomies, thesauri, dictionaries, and code lists, to ensure consistency of terminology and structured data usage across NATO systems and initiatives. These artefacts shall align with NATO terminology directive and applicable standardization policies.
• The contractor shall contribute to the development, review, and harmonization of NATO data standards, ensuring alignment with ISO standards and NATO standardization artefacts. This includes supporting the modernization of standardization processes and improving interoperability across military and non-military domains.
• The contractor shall define and implement governance processes for ontology lifecycle management, including roles, responsibilities, workflows, and quality assurance mechanisms. The contractor shall ensure that ontology and data artefacts are aligned with the NATO Enterprise Architecture Framework (NAF v4.1) and model-driven development practices.
• The contractor shall support the integration of ontologies into knowledge graphs and operational systems, enabling advanced data exploitation and supporting artificial intelligence and machine learning use cases. This includes ensuring compatibility with secure cloud environments and supporting DataOps and MLOps practices, where applicable.
• The contractor shall prepare and deliver briefings, presentations, and reports to NATO committees, capability panels, and working groups, and shall coordinate activities across stakeholders to ensure alignment, transparency, and effective progress of all assigned tasks.
• The contractor shall provide support to unforeseen or ad hoc requirements within the scope of ontology engineering, data standardization, and interoperability, as requested and prioritised by CDT. Such support shall be subject to mutual agreement on scope, effort, and priority.

Working Location

• Brussels, Belgium

Working Policy

• Onsite

Travel

• Some travel to other NATO sites may be required

Security Clearance

• Valid National or NATO Secret personal security clearance

Job details
● 💼 Engineering Team
● 📍 Belgium - Ghent
● 🕜 Full-Time/Hybrid

As a Senior Data Engineer in our new Data Products team, you will play a key role in shaping the quality and business value of our core data assets. You will be hands-on in designing, building, and maintaining the data pipelines that serve teams across Lighthouse. You will act as a bridge between our data and the business, collaborating with stakeholders and ensuring our data effectively enables its consumers.

Where you will have impact

• Become the expert for key data products, understanding the full data lifecycle, quality, and business applications.
• Design, implement, and maintain the streaming and batch data pipelines that power our products and internal analytics.
• Collaborate directly with data consumers to understand their needs, gather requirements, and deliver data solutions.
• Deliver improvements in data quality, latency, and reliability.
• Show a product engineering mindset, focusing on delivering value and solving business problems through data.
• You will be at the forefront of our AI evolution, helping to embed intelligence into our platform. You’ll not only build AI features for our customers but also champion an AI-first development culture within the engineering team.
• Mentor other engineers, sharing your expertise and contributing to their growth.

About our team

The Data Products Team is the definitive source of truth for Lighthouse's data, sitting at the foundational layer of our entire data ecosystem.

Their core mission is to model and deliver high-quality, foundational data products that are essential ingredients for all downstream product features, machine learning models, and data science initiatives across the company:

• Data Modeling & Ownership: Defining and optimizing core data entities for product and analytical use.
• Pipeline Engineering: Building robust ETL/ELT pipelines to transform raw integrated data into trusted domains.
• Data Quality: Establishing standards and monitoring the health of all foundational data assets. 

We are the core of the Lighthouse platform. We take ingested data from our Integrations teams, turn it into usable data products, and provide that clean output to both the Product Engineering and Data Science & Analytics teams. We rely on the Data Platform team for infrastructure support and tooling.

What's in it for you?

• Flexible time off: Autonomy to manage your work-life balance.
• Career development: Workshops, frameworks, and trainings to maximize your professional potential.
• Impactful work: Shape products relied on by 85,000+ users worldwide.
• Mobility options: Mobility budget or company car (based on your job category).
• Net allowance: Support for home office related expenses.
• Vouchers: Lunch vouchers & Eco vouchers.
• Comprehensive health insurance: Extensive coverage for you and your dependents.
• Pension funding: Group insurance to secure your future.
• Referral bonuses: Earn rewards for bringing in new talent.

Who you are

• Experience in a data engineering role, with a proven track record of building scalable data pipelines.
• A product engineering mindset, with a focus on understanding business context and stakeholder needs.
• Professional proficiency in Python for data processing and pipeline development.
• Strong knowledge of cloud database solutions such as BigQuery, Snowflake, or Databricks.
• You are a forward-thinking builder who views AI as a core component of modern architecture. You have a proven interest (or experience) in working with LLMs, agentic workflows, or AI-assisted coding tools to ship higher-quality code, faster.
• Excellent communication and stakeholder management skills.

We welcome

• Experience with microservice architectures and data streaming systems like Kafka or Google Cloud Pub/Sub.
• Familiarity with data governance or data quality tools such as Atlan or Soda.
• Experience mentoring other engineers.

Technologies you will work with

Mostly, but not limited to: GCP, Python, BigQuery, Kubernetes, Airflow, dbt, Terraform, Atlan (data governance tool), Soda.

Job details
● 💼 Engineering Team
● 📍 Belgium - Ghent
● 🕜 Full-Time/Hybrid

What you will do

As a Data Engineer in our new Data Products team, you will play a key role in shaping the quality and business value of our core data assets. You will be hands-on in designing, building, and maintaining the data pipelines that serve teams across Lighthouse. You will act as a bridge between our data and the business, collaborating with stakeholders and ensuring our data effectively enables its consumers.

Where you will have impact

• Become the expert for key data products, understanding the full data lifecycle, quality, and business applications.
• Design, implement, and maintain the streaming and batch data pipelines that power our products and internal analytics.
• Collaborate directly with data consumers to understand their needs, gather requirements, and deliver data solutions.
• Deliver improvements in data quality, latency, and reliability.
• Show a product engineering mindset, focusing on delivering value and solving business problems through data.
• You will be at the forefront of our AI evolution, helping to embed intelligence into our platform. You’ll not only build AI features for our customers but also champion an AI-first development culture within the engineering team.
• Mentor other engineers, sharing your expertise and contributing to their growth.

About our team

The Data Products Team is the definitive source of truth for Lighthouse's data, sitting at the foundational layer of our entire data ecosystem.

Their core mission is to model and deliver high-quality, foundational data products that are essential ingredients for all downstream product features, machine learning models, and data science initiatives across the company:

• Data Modeling & Ownership: Defining and optimizing core data entities for product and analytical use.
• Pipeline Engineering: Building robust ETL/ELT pipelines to transform raw integrated data into trusted domains.
• Data Quality: Establishing standards and monitoring the health of all foundational data assets. 

We are the core of the Lighthouse platform. We take ingested data from our Integrations teams, turn it into usable data products, and provide that clean output to both the Product Engineering and Data Science & Analytics teams. We rely on the Data Platform team for infrastructure support and tooling.

What's in it for you?

• Flexible time off: Autonomy to manage your work-life balance.
• Career development: Workshops, frameworks, and trainings to maximize your professional potential.
• Impactful work: Shape products relied on by 85,000+ users worldwide.
• Mobility options: Mobility budget or company car (based on your job category).
• Net allowance: Support for home office related expenses.
• Vouchers: Lunch vouchers & Eco vouchers.
• Comprehensive health insurance: Extensive coverage for you and your dependents.
• Pension funding: Group insurance to secure your future.
• Referral bonuses: Earn rewards for bringing in new talent.

Who you are

• Experience in a data engineering role, with a proven track record of building scalable data pipelines.
• A product engineering mindset, with a focus on understanding business context and stakeholder needs.
• Professional proficiency in Python for data processing and pipeline development.
• Strong knowledge of cloud database solutions such as BigQuery, Snowflake, or Databricks.
• You are a forward-thinking builder who views AI as a core component of modern architecture. You have a proven interest (or experience) in working with LLMs, agentic workflows, or AI-assisted coding tools to ship higher-quality code, faster.
• Excellent communication and stakeholder management skills.

We welcome

• Experience with microservice architectures and data streaming systems like Kafka or Google Cloud Pub/Sub.
• Familiarity with data governance or data quality tools such as Atlan or Soda.
• Experience mentoring other engineers.

Technologies you will work with

Mostly, but not limited to: GCP, Python, BigQuery, Kubernetes, Airflow, dbt, Terraform, Atlan (data governance tool), Soda.

#LI-Hybrid

Senior Customer Engineer, Deasy Labs

As a Senior Customer Engineer at Deasy Labs, you will work directly with customers to design and demonstrate solutions using the Deasy Labs platform. You will partner with sales, product, and engineering teams to help organizations turn unstructured data into AI-ready knowledge.

In this role, you will lead technical discovery, deliver product demonstrations and proof-of-concepts, and guide customers in applying Deasy Labs to solve complex data and AI challenges.

This is a hybrid role based in our Brussels office. Our hybrid model means you’ll work from the office at least two days each week. This setup helps us stay connected, work more closely together, and keep making progress as a team.

About Deasy Labs

Deasy Labs, part of Collibra, develops technology that automatically discovers, enriches, and maintains the semantic context inside unstructured data.

Enterprise knowledge often lives in documents, PDFs, reports, and transcripts that traditional data systems cannot easily organize or govern. The Deasy platform analyzes that content and generates structured metadata, taxonomies, and relationships that allow AI systems to retrieve the right information with accuracy and control.

Senior Customer Engineers at Deasy Labs are responsible for

• Partner with Account Executives to support the technical aspects of the sales cycle
• Lead technical discovery conversations with customers to understand their data, AI, and business challenges
• Design and deliver compelling technical demonstrations, workshops, and proof-of-concepts
• Translate customer requirements into solution architectures using the Deasy Labs platform and the broader Collibra ecosystem
• Guide customers in applying Deasy Labs to organize and enrich unstructured data for AI and analytics use cases
• Serve as a trusted technical advisor to customers throughout the evaluation and adoption process
• Collaborate with product and engineering teams to share customer feedback and influence product direction

You have

• 5+ years in a Customer Engineering, Solutions Engineering, or technical pre-sales role supporting enterprise software
• Familiarity with unstructured data, machine learning, or information retrieval technologies 
• Broad knowledge of data governance, data catalog, data quality, and data privacy platforms required. Experience should include a broad range of disciplines including value-based selling, cost-benefit analysis and ROI analysis, process and project management.
• Broad experience as a Data Management practitioner in the areas of cataloging, integration, data quality, data or enterprise architecture, have set up or participated in governance boards.
• Experience with the leading PaaS providers, Data Lakes, Databases, and Integration platforms.
• A bachelor’s degree or equivalent related working experience
• This position is not eligible for visa sponsorship

You are

• An effective communicator who can explain complex technical concepts clearly to both technical and business audiences
• A sales- and customer-focused self-starter with curiosity, flexibility, and a strong sense of ownership
• A trusted partner to customers, helping them solve complex challenges through thoughtful technical solutions
• A collaborative team player who works effectively across sales, product, and engineering teams to drive outcomes
• Comfortable presenting and sharing expertise with highly skilled technical audiences
• Able to understand customer business needs and identify the technical solutions that support meaningful business outcomes
• Motivated by continuous learning and excited to deepen your understanding of both customer challenges and emerging technologies
• Willing to travel up to 30% within the region

Measures of success

• Within your first month, you will become familiar with Collibra and understand our customer landscape.
• Within your second month, you should confidently conduct discovery with customers and prospects, initial product demonstrations, and be able to present solutions aligned to customer value.
• Within your third month, you will become a voice for Collibra within your accounts and for your accounts back within Collibra - educating external and internal stakeholders on features, roadmap, and new use cases.

Joining Collibra’s Unstructured AI Team

• Work at the forefront of context engineering - shaping how AI systems retrieve, structure, and leverage context to deliver accurate, high-quality results at scale.
• Own end-to-end technical delivery of Unstructured AI systems - from feature prototype to stable production across enterprise environments.
• Build and scale full-stack systems that ingest, process, and enrich large volumes of unstructured content from distributed enterprise silos (PDFs, contracts, reports, and other document types).
• Collaborate with the Best: Work closely with xYC Founders to understand complex business challenges and deliver Deasy to solve them. Be part of a dynamic team where ideas flow freely and creativity thrives.
• Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Share knowledge and lead by example to maintain high building standards.

This is a hybrid role based in our Brussels office. Our hybrid model means you’ll work from the office at least two days each week. This setup helps us stay connected, work more closely together, and keep making progress as a team.

Senior AI Engineer at Collibra are responsible for

• Shipping complex systems under ambiguity - balancing speed and precision in real environments.
• Writing and reviewing production-grade code across backend (Python, FastAPI).
• Building/deploying document-processing systems that handle large-scale, unstructured data environments.
• Integrating data from diverse enterprise data sources (e.g., SharePoint, Salesforce, or internal APIs) to provide context for AI features.
• Partnering across engineering, product, and sales teams, ensuring alignment from prototype to rollout.
• Occasionally working with modern frontend development.

You have

• Strong proficiency in Python (data processing, API development, and integrations).
• Hands-on work with LLM-based and AI-driven enrichment models (e.g., classification, entity extraction, deduplication, PII detection).
• Proven ability to deliver production-grade systems using Big Data frameworks (e.g., Spark) to handle data at scale.
• Solid understanding of data pipelines, microservice architecture, and API design.
• Experience ingesting and processing data from third-party enterprise sources (e.g., SharePoint/OneDrive, Salesforce, and SaaS-based knowledge bases).
• Strong communication skills across technical and business teams.
• Calm, structured decision-making under tight timelines or ambiguity.
• Familiarity with metadata systems, data cataloging, or document AI workflows.
• Knowledge of model evaluation best practices.
• Experience with search relevance.
• A bachelor’s degree or equivalent related working experience is required.
• You must have work authorization to work in Brussels. 

You Are

• Calm, structured decision-making under tight timelines or ambiguity.
• Capable of communicating clearly across engineering, product, and field teams, ensuring alignment from prototype to rollout.
• Experienced in spotting risks early, course-correcting without friction, and model composure when delivery timelines are tight.
• Someone who cares deeply about data quality, precision, and governance.
• Strong communication and stakeholder-management skills across technical and business teams.

Measures of Success

• Within your first month, you will develop a deep understanding of our product vision and the unstructured data stack that powers it, shipping your first set of end-to-end features.
• Within your third month, you will take full ownership of technical delivery for key product areas, building robust capabilities that handle complex document processing and ensure a stable, high-performance experience for users interacting with diverse data sources.
• Within your sixth month, you will drive the development of ambitious, enterprise-grade AI product features that solve for data at scale, architecting the high-performance pipelines and advanced context engineering required to deliver accurate, reliable results.

Joining Collibra’s Artificial Intelligence team

We are looking for an experienced AI Engineer who will design and deliver Artificial Intelligence solutions that improve our customers' experience and enable informed, data-driven decision making. We seek someone excited about working with cutting-edge technologies to build pragmatic, performant AI solutions. You'll collaborate with a team of outstanding builders around the world, characterized by a love for innovative technology, a desire to solve problems, and a continuous pursuit of building simple, elegant products that delight customers and simplify all levels of data engagement. You will work primarily with Data Scientists, other AI Engineers, and Machine Learning Operations Engineers, as well as teams across Collibra.

This is a hybrid role based in our Brussels office. Our hybrid model means you’ll work from the office at least two days each week. This setup helps us stay connected, work more closely together, and keep making progress as a team.

AI Engineers at Collibra are responsible for

• Monitoring of the larger AI/ML landscape, including emerging techniques and current state-of-the-art approaches 
• Transforming prototypes into pragmatic, production-ready solutions which solve impactful business problems
• Creating, operationalizing, and supporting AI/ML models and visualizations to power actionable value and insights
• Evaluating algorithmic results for quality, adaptability, and efficiency
• Contributing to evolving our platforms for Artificial Intelligence and Machine Learning capabilities in support of Collibra’s data products
• Collaborating with cross-functional teams and mentoring junior engineers on AI best practices

You have

• 5+ years of experience delivering production-grade AI/ML projects related to business functions, incorporating advanced techniques (e.g., LLM-based applications, RAG systems, NLP, neural networks, recommendation engines)
• Experience with SQL and relational databases, query authoring as well as working familiarity with a variety of databases (e.g., time series, graph, vector)
• Built and deployed production code in Python with associated AI modules (LangChain, LangGraph, Pandas, Numpy, Tensorflow, etc.)
• Experience with model evaluation, testing frameworks, and validation methodologies
• You must have work authorization to work in Brussels, Belgium
• A bachelor’s degree or equivalent related working experience is required

You are

• Deeply technical, driven, and analytical about the insights data can deliver
• Able to cut through hype and noise to identify foundational problems and build maintainable, performant solution
• Passionate about the mathematical principles powering the Generative AI revolution and how to drive sustainable value from LLMs and other GenAI technologies
• Experienced supporting diverse stakeholders and working with cross-functional teams in dynamic environments
• A clear communicator who can explain complex technical concepts to both technical and non-technical audiences
• Product-minded with empathy for end users—you consider how people will actually interact with AI features, not just technical sophistication
• Eager to both learn from others and share knowledge ; AI is evolving rapidly and no one has all the answers

Reporting to Collibra’s Senior Manager of AI Engineering, measures of success are

• Within your first month, you will familiarize yourself with the existing data platform and data products by diving into the architecture, existing products, and the Collibra platform ecosystem
• Within your third month, you will start to deliver new AI/ML features into our SaaS platform
• Within your sixth month, you will operationalize AI products into production environments and contribute to our AI roadmap

Join Artefact Belgium: Build the Foundation of AI and Data Transformation

Are you an experienced Data Engineer with a passion for building high-performance data pipelines and scalable cloud architectures for the Generative AI era? Artefact Belgium is looking for a Data Engineer to drive innovation and deliver robust data foundations for our global clients. If you have a solid track record in data engineering and consulting, we invite you to shape the future of AI-driven solutions with us in Brussels.

Who We Are

Founded in Paris, Artefact is a next-generation consulting firm specializing in data, analytics, and AI, focused on transforming data into business impact. We help clients grow their data and digital capabilities while growing ourselves. Our engineering team in Belgium works on the most advanced applications of data technology, from large-scale data platforms to supporting state-of-the-art GenAI projects. Our inclusive and forward-thinking culture encourages creativity, collaboration, and professional growth.

What You Will Do

As a Data Engineer in our GenAI practice, you will own the end-to-end execution of complex technical challenges. You won't just "move" data; you will build the specialized infrastructure and data flywheels that power the next generation of Generative AI, RAG systems, and autonomous agents.

• Deploy GenAI-Ready Production Pipelines: Design and deploy advanced data pipelines both batch and streaming optimized for processing unstructured data (text, images, audio) to fuel LLM fine-tuning and retrieval-augmented generation.
• Build Scalable AI Platforms & Vector DBs: Hands-on development using modern cloud platforms like Databricks, Azure, or AWS.
• Establish Engineering Excellence for LLMs: Implement best practices in data transformation (dbt), orchestration (Airflow, Prefect, or Dagster), and data governance to ensure that AI solutions are reliable, safe, and compliant at enterprise scale.
• Collaborate on AI Innovation: Work closely with Machine Learning Engineers and Generative AI Specialists to design data models and "data-as-a-service" layers that enable rapid prototyping and scaling of AI agents.
• Software Engineering Foundation: Advocate for clean, maintainable code using Python, SQL, and Git, and leverage containerization (Docker/Kubernetes) to deploy AI-driven microservices.

Who You Are

• Experienced Professional: At least 3-5 years of industry experience in data engineering, ideally within a consulting environment, with exposure to data preparation for AI/ML.
• Deep Technical Skillset: Strong programming skills in Python and proven expertise in Spark (PySpark, SparkSQL) for large-scale data processing and feature engineering.
• Data Transformation Expert: Extensive experience with dbt for data modeling, and a strong curiosity about emerging patterns in "LLMOps" and vector data management.
• Consulting Mindset: Proven ability to navigate multidisciplinary environments and communicate how high-quality data architecture is the primary bottleneck for successful GenAI deployment.
• Education: A Master’s in a quantitative field (Computer Science, Engineering, Mathematics, or a related field).
• Linguistic Versatility: Proficiency in English is required; fluency in Dutch or French is a major advantage for our Belgian market.

What We Offer

• Competitive Compensation: An attractive package aligned with your expertise, including a mobility budget or company car and premium insurance.
• High-Impact Opportunities: Work with state-of-the-art technologies on global projects that transform the world's leading brands through Generative AI.
• Professional Growth: Access to a substantial training budget for individual learning, research into new AI frameworks, and certifications.
• A Collaborative Workplace: Join a diverse team where fun and professional excellence go hand-in-hand, with access to 2,000+ colleagues across 34 global offices.

This position is based in Brussels,  At Artefact Belgium, we value expertise, curiosity, and a drive to innovate. If you're ready to build the data engines of the AI future, we'd love to hear from you.

Join Artefact Belgium: Lead the Future of Generative AI and Agentic systems

Are you an experienced AI engineer with a passion for generative AI, agentic systems, and technical leadership? Artefact Belgium is looking for a Tech Lead – Gen AI to own the technical vision of our AI projects, mentor a team of engineers, and drive cutting-edge solutions for our clients. If you have 6-7+ years of experience in AI and consulting, combined with a strong sense of technical ownership and a talent for enabling others, we'd love to hear from you.

Who We Are

Founded in Paris, Artefact is a next-generation consulting firm specializing in data, analytics, and AI, focused on transforming data into business impact. We help clients grow their data and digital capabilities while growing ourselves. Our team in Belgium specializes in GenAI and agentic AI projects, working on the most advanced applications of these technologies. Our inclusive and forward-thinking culture encourages creativity, collaboration, and professional growth.

Who You Are

• Technical leader: You naturally set the bar for engineering quality. You make architectural decisions confidently, lead by example, and know when to roll up your sleeves and code alongside your team.
• Mentor and enabler: You thrive on helping others grow. You enjoy guiding junior and medior engineers, establishing best practices, and building a team culture of technical excellence.
• Client-facing expert: You are comfortable being the primary technical point of contact for clients — translating complex AI concepts into business value and building trusted relationships.
• Pragmatic innovator: You keep a close eye on the state of the art in generative AI and know how to apply emerging techniques to real-world, production-grade challenges.
• Autonomous and accountable: You take ownership of outcomes,  from architecture to delivery, and proactively flag risks and opportunities throughout the project lifecycle.

What You Will Do

• Own the technical vision: Define and drive the technical architecture of AI-powered solutions across client engagements, including RAG systems, agentic AI architectures, multi-modal applications, and multi-agent workflows.
• Lead by example: Stay hands-on : contribute to critical parts of the codebase, conduct code reviews, and set engineering standards that the team rallies around.
• Mentor a small team: Guide a team of 2-6 engineers and data scientists, helping them grow technically and professionally. Contribute to team-building efforts, including involvement in hiring and onboarding.
• Establish evaluation frameworks: Design and implement comprehensive quality metrics and benchmarks to ensure production-ready, reliable AI solutions that meet client requirements.
• Engage and advise clients: Serve as the primary technical lead in client interactions — translating business needs into AI solutions, presenting technical choices, and building long-term trust throughout project lifecycles.
• Shape the AI roadmap: Identify new use cases, optimize performance and contribute to the development of internal AI tools and products.
• Build scalable infrastructure: Oversee deployment and maintenance of AI systems, including model serving, API development, vector databases, and orchestration frameworks.
• Contribute to thought leadership: Publish insights, present at conferences, and drive internal knowledge sharing on emerging AI technologies, agent frameworks, and best practices.

What You Bring

• A degree in computer science, engineering, mathematics, or a related field.
• At least 6-7 years of professional experience in AI, with a strong focus on Machine Learning, generative AI.
• Proven experience as a technical lead or senior engineer, with a track record of owning architecture decisions and guiding engineering teams.
• Consulting experience, including managing client relationships and delivering tailored, production-grade solutions.
• Deep expertise in modern generative AI techniques including RAG systems, agentic workflows, multi-agent architectures, evaluation frameworks, and production deployment.
• Strong programming skills in Python and extensive experience with AI frameworks and cloud providers.
• Excellent communication skills, with the ability to present technical concepts clearly to both technical and non-technical audiences.
• Proficiency in English, Dutch, or French is required; additional languages are a plus.
• You must be eligible to work in Belgium.

What We Offer

• Competitive compensation aligned with your expertise and experience.
• A genuine technical leadership role with real ownership : architecture decisions, team direction, and client impact.
• High-impact opportunities to work with state-of-the-art generative AI technologies and solve real-world challenges.
• A collaborative, inclusive workplace with access to global expertise through Artefact's international network.
• A chance to shape the direction of a fast-growing GenAI team within a leading global consulting firm.

This position is based in Brussels, with opportunities to collaborate on projects worldwide.

At Artefact Belgium, we value technical leadership, a drive to innovate, and the ability to bring out the best in others. If you're ready to own the technical direction of cutting-edge AI projects and make a tangible impact, we'd love to hear from you.

Join Artefact Belgium: Lead the Future of Generative AI and Agentic systems

Are you an experienced AI engineer with a passion for generative AI, agentic systems, and technical leadership? Artefact Belgium is looking for a Tech Lead – Gen AI to own the technical vision of our AI projects, mentor a team of engineers, and drive cutting-edge solutions for our clients. If you have 6-7+ years of experience in AI and consulting, combined with a strong sense of technical ownership and a talent for enabling others, we'd love to hear from you.

Who We Are

Founded in Paris, Artefact is a next-generation consulting firm specializing in data, analytics, and AI, focused on transforming data into business impact. We help clients grow their data and digital capabilities while growing ourselves. Our team in Belgium specializes in GenAI and agentic AI projects, working on the most advanced applications of these technologies. Our inclusive and forward-thinking culture encourages creativity, collaboration, and professional growth.

Who You Are

• Technical leader: You naturally set the bar for engineering quality. You make architectural decisions confidently, lead by example, and know when to roll up your sleeves and code alongside your team.
• Mentor and enabler: You thrive on helping others grow. You enjoy guiding junior and medior engineers, establishing best practices, and building a team culture of technical excellence.
• Client-facing expert: You are comfortable being the primary technical point of contact for clients — translating complex AI concepts into business value and building trusted relationships.
• Pragmatic innovator: You keep a close eye on the state of the art in generative AI and know how to apply emerging techniques to real-world, production-grade challenges.
• Autonomous and accountable: You take ownership of outcomes,  from architecture to delivery, and proactively flag risks and opportunities throughout the project lifecycle.

What You Will Do

• Own the technical vision: Define and drive the technical architecture of AI-powered solutions across client engagements, including RAG systems, agentic AI architectures, multi-modal applications, and multi-agent workflows.
• Lead by example: Stay hands-on : contribute to critical parts of the codebase, conduct code reviews, and set engineering standards that the team rallies around.
• Mentor a small team: Guide a team of 2-6 engineers and data scientists, helping them grow technically and professionally. Contribute to team-building efforts, including involvement in hiring and onboarding.
• Establish evaluation frameworks: Design and implement comprehensive quality metrics and benchmarks to ensure production-ready, reliable AI solutions that meet client requirements.
• Engage and advise clients: Serve as the primary technical lead in client interactions — translating business needs into AI solutions, presenting technical choices, and building long-term trust throughout project lifecycles.
• Shape the AI roadmap: Identify new use cases, optimize performance and contribute to the development of internal AI tools and products.
• Build scalable infrastructure: Oversee deployment and maintenance of AI systems, including model serving, API development, vector databases, and orchestration frameworks.
• Contribute to thought leadership: Publish insights, present at conferences, and drive internal knowledge sharing on emerging AI technologies, agent frameworks, and best practices.

What You Bring

• A degree in computer science, engineering, mathematics, or a related field.
• At least 6-7 years of professional experience in AI, with a strong focus on Machine Learning, generative AI.
• Proven experience as a technical lead or senior engineer, with a track record of owning architecture decisions and guiding engineering teams.
• Consulting experience, including managing client relationships and delivering tailored, production-grade solutions.
• Deep expertise in modern generative AI techniques including RAG systems, agentic workflows, multi-agent architectures, evaluation frameworks, and production deployment.
• Strong programming skills in Python and extensive experience with AI frameworks and cloud providers.
• Excellent communication skills, with the ability to present technical concepts clearly to both technical and non-technical audiences.
• Proficiency in English, Dutch, or French is required; additional languages are a plus.
• You must be eligible to work in Belgium.

What We Offer

• Competitive compensation aligned with your expertise and experience.
• A genuine technical leadership role with real ownership : architecture decisions, team direction, and client impact.
• High-impact opportunities to work with state-of-the-art generative AI technologies and solve real-world challenges.
• A collaborative, inclusive workplace with access to global expertise through Artefact's international network.
• A chance to shape the direction of a fast-growing GenAI team within a leading global consulting firm.

This position is based in Brussels, with opportunities to collaborate on projects worldwide.

At Artefact Belgium, we value technical leadership, a drive to innovate, and the ability to bring out the best in others. If you're ready to own the technical direction of cutting-edge AI projects and make a tangible impact, we'd love to hear from you.

About us

We're an independent European digital product studio with a strong track record of delivering market-defining strategies, products and platforms for enterprises and governments. With about 200 talented people across three countries, premium AI capabilities and a diverse portfolio of international clients, we define, design and ship at scale and with impact. From global cloud-based platforms, AI-systems and large-audience apps to medical devices, banking software and full AI Transformation roadmaps. We live and breathe digital.

Become a part of our team

At In The Pocket, you join a multidisciplinary team of designers, engineers, strategists and AI specialists who care about the work as much as the people they work with. We work in small, autonomous teams that stay close to our clients and their users, and we give everyone the space to take ownership, speak up and grow. You'll learn from colleagues across our studios, impact thousands or even millions of people with your work and help shape our business in the age of intelligence.

What you’ll do 

AI is rewriting how organisations operate and compete. Many of our clients know they need to act, but struggle with where to start, what to prioritise and how to scale AI beyond the proof of concept. That's where you come in.

As a Senior AI Transformation Consultant, you help organisations see their future through the lens of AI and give them the framework to work towards it. You work across strategy, organisational design and applied AI, moving fluidly between a boardroom workshop and a hands-on pilot with a product team. You're comfortable telling a CEO which bets to make and equally comfortable rolling up your sleeves to define the use case, sketch the architecture and plan the rollout. You'll operate from our studios in Ghent, Antwerp or Leuven, but this is a client-facing role. You should be open to prolonged embedded assignments at enterprise and government clients, leading their AI transformation on-site as a trusted advisor who's part of their daily rhythm, not a consultant who flies in for a slide deck.

You'll work within our AI Transformation team, which covers three areas: Organisational AI Readiness, AI Discovery and Applied AI. These areas require different focus and expertise, we’re curious to hear where you thrive and excel (and where you don’t). In The Pocket has developed a proprietary and successful approach to AI Transformation, which you’ll champion across industries, such as healthcare, government, utilities, retail and finance.

Help organisations get AI-ready:

• Assess a client's organisational maturity for AI adoption: governance, tooling, data foundations, capabilities.
• Design and set up an AI Centre of Excellence: the team, the mandate, the decision rights, the guardrails and the metrics. The goal is to unify scattered AI efforts under shared standards while giving teams enough room to move fast.
• Define the AI orchestration layer: how models, agents and automation are governed, made available and kept under financial and compliance control across the organisation. 
• Map an organisation's capabilities to create a framework for distributed ownership of AI initiatives, making it clear where AI shifts value creation and who's accountable

Discover where AI creates value:

• Facilitate workshop series to uncover and prioritise AI use cases for a client, producing a growth map ranked by value and feasibility, with clear owners, timelines and success metrics.
• Develop AI differentiation strategies: where can this client build a competitive edge through? What will their competitors do, and what can they do that's different?
• Create solution concept sketches, stakeholder maps and data requirement overviews for the top-priority use cases.
• Build roadmaps that balance quick wins with longer-term foundational investments, so clients can show results while laying the groundwork for scale.

Get AI into production:

• Scope, plan and guide AI pilot projects from defining success criteria to shipping a working solution that proves value and builds internal buy-in.
• Define KPI’s and evaluation frameworks focused on impact and outcome.
• Lead the path from pilot to production. Define KPIs and evaluation frameworks that prove impact and guide clients through the inevitable gap between a successful pilot and a production-ready solution.

Ensure responsible adoption:

• Embed privacy, security and compliance into AI initiatives from day one. We're ISO 27001-certified and work in regulated industries. You should be comfortable in that context.
• Keep governance aligned with evolving regulation, including the EU AI Act.
• Promote human-first AI principles: AI as augmentation, not replacement. Help teams adopt AI in a way that feels safe and makes sense for their day-to-day work.

Grow the practice:

• Contribute to the development of our AI Transformation frameworks, playbooks and toolkits.
• Support our Sales team and help shape proposals and pitches for new AI transformation engagements.
• Coach and mentor more junior consultants across engagements.
• Share knowledge across In The Pocket and with the broader market through talks, articles or workshops.

Who you are

• You have 7+ years of professional experience, with at least 3 years in consulting, digital strategy or transformation roles serving enterprise or public-sector clients.
• You thrive working on-site with clients, building long-lasting relationships rather than doing research from a distance.
• You have a solid grasp of AI and machine learning concepts — not necessarily as an engineer, but enough to have credible conversations about what's possible, what's practical and what's hype. You can partner with engineering and data teams without needing to be walked through the basics.
• You've led or been deeply involved in organisational change programmes. You know that shipping the technology is half the job; the other half is adoption and change.
• You can run a workshop with senior stakeholders, synthesise findings into a clear strategy and present it back with confidence. You don't hide uncertainty from executives; you explain trade-offs honestly.
• You think in terms of business outcomes, not features. 
• You have experience with capability mapping, operating model design, data governance or similar organisational disciplines. You don't need all of these, but you should have depth in at least one.
• You're familiar with the current AI landscape: foundation models, agentic workflows, AI orchestration platforms, the buy-vs-build trade-offs companies face.
• You’ve learned to think and work “AI-first” and are a fluent orchestrator of various relevant AI-tools.
• You write well and you’re a great communicator. Discrete when required and on stage when the opportunity presents itself.
• You're comfortable with prolonged on-site engagements at client organisations. This role isn't remote-first — you'll spend real time in our studios and at client locations across Belgium and occasionally beyond.
• You're fluent in Dutch and English, with strong communication and presentation skills in both. French speaking ability is a strong plus.
• You are looking for a permanent full-time position.

What we offer

Joining In The Pocket means becoming part of a team that shapes the future of our clients’ businesses across Europe. Here’s what you can look forward to:

• You’ll start with a permanent contract in a role that comes with responsibility and the opportunity to make a real impact from day one.
• We offer a competitive salary that reflects your experience and the value you bring.
• Our benefits package has you covered with hospitalisation and group insurance, meal vouchers, a phone subscription, and more.
• You’ll have a mobility budget that lets you decide how to get around, your way. 
• Life at In The Pocket isn’t just about work, we host team events throughout the year to celebrate, connect, and have fun together.
• Learning never stops here, so after six months, you’ll receive a dedicated learning and development budget to keep growing your skills and exploring new horizons.

Senior Python / Agentic AI Engineer

Capco: Where Innovation Meets Opportunity

Capco is a global leader in consulting, uniquely positioned to drive innovation and transformation in the financial services industry. More than consultants, we are strategic partners and problem solvers for some of the largest organizations in Banking, Insurance, Investment Management, Data/Digital Transformation, Regulatory Compliance, and ICT Risk. Our business and technology professionals thrive in a dynamic environment where creativity, collaboration, and cutting-edge solutions are at the heart of everything we do. Experience the Capco difference and explore how you can shape your future with us at capco.com.

Capco’s AI Lab

The AI Lab is a cross-disciplinary research and engineering centre that translates advanced AI research into robust, deployable solutions for clients and internal products. It runs applied research (ML and agentic/LLM systems, planning, simulation and evaluation), rapid prototyping and production engineering (APIs, CI/CD, observability, data platforms and cost/latency optimisation), and rigorous evaluation and safety work (benchmarks, red-teaming, monitoring, governance and compliance). The lab also supports client engagements and internal innovation by building demonstrators and reference architectures, transferring technology to delivery teams, publishing technical learnings, and maintaining the shared infrastructure, tooling and best practices that enable reproducible, secure and scalable AI deployment.

Responsibilities

• Design and implement scalable, production-grade Python services that leverage LLMs and Agentic architectures.
• Design and implement robust agent workflows and orchestration patterns to automate complex business processes in regulated enterprise environments.
• Build and maintain reliable AI-enabled backend systems, including orchestration layers, tool integrations, knowledge access mechanisms, and observability.
• Design modern knowledge access architectures for LLM systems, including retrieval strategies, semantic indexing, and structured interfaces to enterprise data sources.
• Apply strong software engineering practices (testing, CI/CD, monitoring, structured logging, versioning of prompts and models) to ensure reliability and maintainability of AI systems.
• Collaborate with cross-functional teams to integrate AI capabilities into enterprise applications and workflows.
• Work closely with stakeholders to translate business requirements into secure, compliant, and scalable AI-driven solutions.
• Contribute to system architecture decisions including agent orchestration, reasoning workflows, knowledge access strategies, and model integration patterns.
• Optionally contribute to user interfaces using Angular or React to support AI-powered applications.
• Ensure systems meet enterprise standards for security, reliability, and compliance.

Required Experience

• Fluent in English and fluent in Dutch or French.
• 5+ years of professional experience building enterprise-grade Python applications, with strong software engineering fundamentals.
• Proven experience designing and deploying Agentic or LLM-powered systems in production, ideally within enterprise or regulated environments.
• Strong expertise applying large language models to complex automation, information retrieval, and decision-support problems.
• Experience designing agentic architectures, including orchestration, tool usage, planning workflows, and system-level reasoning patterns.
• Experience building LLM systems that combine reasoning, tool access, and dynamic information retrieval, beyond simple prompt pipelines.
• Deep proficiency in Python, including modern frameworks, OOP, design patterns and best practices.
• Experience developing production APIs and backend services that integrate with enterprise systems and data sources.
• Demonstrated experience building reliable AI systems beyond prototypes, with attention to testing, monitoring, evaluation, and operational stability.

Why Join Capco?

• Capco provides an environment where your expertise and innovative ideas will thrive. Here’s why you’ll love working with us:
• Competitive Compensation: Includes a company car or green mobility budget, allowances, end-of-year bonuses, health insurance, mobile phone, laptop, and meal vouchers.
• Learning Opportunities: Gain access to advanced learning platforms, in-person and virtual courses, and our network of global experts to support your continuous development.
• Flexible Working Environment: Enjoy a hybrid setting, combining the benefits of remote flexibility with in-office collaboration.
• Work-Life Balance: Work in a supportive environment designed to encourage balance and wellness both personally and professionally.
• Innovative Culture: Operate in a non-hierarchical workspace where great ideas and initiative are celebrated, giving you a platform to showcase your expertise.