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

What you will do

Reporting to our Director of Data Science, you will be a key player in our Data Organisation. As our new Senior MLOps Engineer, your mission is to design, build, and maintain the robust infrastructure that powers our machine learning solutions, from classical models to new LLM-powered features and AI agents. Your role has a crucial enablement mandate: you will not only serve the Data R&D team but also set up the foundations that empower other engineering teams to ship their own AI features into production, directly impacting hundreds of thousands of hotels globally.

Where you will have impact

• Design and implement the core infrastructure for deploying and managing both classical machine learning models and generative AI systems in production.
• Develop and maintain robust data pipelines using Airflow to ensure the timely delivery of high-quality data to our models.
• Deploy, monitor, and optimize the performance of machine learning models on Google Cloud Platform (GCP) using tools like VertexAI.
• Act as a force multiplier by creating foundational tools and providing guidance that enables other engineering teams to ship their own AI features.
• Collaborate closely with our Data Scientists to continuously improve the accuracy, reliability, and scalability of our models.
• Play a strategic role in the end-to-end delivery of Data R&D projects, from the research phase through to product implementation.
• Stay at the forefront of MLOps technologies and best practices, sharing your knowledge to elevate the entire team.

About our team

You'll be joining the Data R&D team, a core group on a mission to maximize the power of data. We support existing solutions and drive innovation, processing billions of data points daily to unlock new value for the hospitality industry. In this role, you will work closely with a wide range of technical collaborators, including your Senior MLOps peer, our Data Science teams, the DevOps team on GCP infrastructure, the Data Platform team on data quality and pipelines, and Product Backend Engineers to guide them in building their own AI-powered features.

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

• You have significant experience in an MLOps role, with a proven track record of putting machine learning models, including Generative AI, into production at scale.
• You have strong, hands-on experience with Google Cloud Platform (GCP), particularly with services like BigQuery, and VertexAI.
• You are highly proficient with Python and SQL.
• You have strong experience building and maintaining data pipelines with Airflow.
• You are familiar with common ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• You understand CI/CD pipelines (we use GitLab CI) and model monitoring principles.
• You are a strong communicator who can explain complex technical topics to a variety of stakeholders.
• You are curious, open-minded, and proactive, with a passion for exploring AI's capabilities in your own development work.

We welcome

• Experience with MLOps tools like MLflow or LLM-specific infrastructure like an Agent Development Kit (ADK).
• Familiarity with observability tools such as Grafana.
• A solid understanding of DevOps practices, including scripting and automation.

Technologies you will work with

Python, SQL, BigQuery, VertexAI, GKE, Cloud Run, Docker, Kubernetes, Terraform, Apache Airflow, GitLab CI/CD, Dataflow, scikit-learn, MLflow, VertexAI, ADK, Grafana.

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

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.

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: 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.

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.