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 – 2026-0043

Role Background

NATO Communications and Information Agency (NCIA), as the main ICT service provider in NATO, is the main technical entity providing subject matter expertise to support NATO Cyber and Digital Transformation (CDT) Branch’s Innovation Programmes of Work (PoW) and relevant activities in 2026. NCIA Chief Technology Office (CTO) is looking for a Contractor who will provide full-stack software development support to the PoW projects.

Role Duties and Responsibilities

• Support NCIA in the NATO Programmes of Work with CDT in the area of software development for digital innovation and technology applications.
• Develop advanced application capabilities for analysts, enabling the exploration, analysis, and synthesis of strategic foresight analysis data through complex, multi-step user experience workflows, including cross-article reasoning, topic engineering, source intelligence, and relevance assessment.
• Develop full-stack integrations with AI-enabled backend services, including the exposure of AI-driven analytical functions, retrieval mechanisms, and automated synthesis capabilities in a controlled and user-transparent manner.
• Apply sound software design principles to ensure transparent, auditable, and controllable analytical workflows, including clear traceability between inputs, sources, AI-assisted reasoning steps, and generated outputs, suitable for high-trust analytical and policy environments.
• Deliver deployment-ready solutions that are compatible with restricted and secure environments, including solutions subject to accreditation for NATO UNCLASSIFIED (NU) deployment, and capable of operating under governance, security, and operational constraints beyond standard commercial systems.

Essential Skills, Experience and Certifications

• Senior-level full stack development experience with at least 8 years of experience, covering: frontend and backend development, system architecture, integration, implementation and end-to-end ownership from design through deployment.
• Extensive knowledge in frontend (Vue.js, React, Astro) and backend frameworks (Python, FastAPI), including: Frontend application architecture and state management, backend API design, schema validation, and service orchestration.
• Proven experience integrating frontend applications with backend APIs and data services, including: high-volume data ingestion and querying, search, retrieval, and analytics- oriented backends, performance-aware UI–backend interaction patterns. The bidder must provide at least two project examples demonstrating the experience.
• Practical experience integrating AI and LLM-based services, including: LLM-powered analysis, synthesis, and content generation, retrieval-Augmented Generation (RAG) or hybrid retrieval approaches and deterministic, traceable, and auditable AI outputs suitable for policy and analytical use.
• Experience with designing and implementing analyst-facing workflows, with emphasis on: transparency of analytical results, traceability of sources, reasoning, and outputs, user control over inputs, filters, and relevance criteria.
• Experience working in analytical decision-support contexts or strategic foresight, including: Topic engineering and thematic analysis, source intelligence and relevance assessment, multi-source analytical synthesis.
• Ability to work independently at senior level, including: structuring complex systems from high-level requirements, translating abstract objectives into concrete technical deliverables and delivery constraints
• Experience with analytical platforms, such as strategic foresight analysis, emerging and disruptive technologies assessment, or decision-support tooling.
• Experience deploying solutions in restricted, controlled, or secure environments, including: separation of environments, controlled AI service integration, deployment constraints beyond standard commercial cloud setups
• Candidate must have the nationality of one of the NATO nations.

Language

• Excellent command of spoken and written English. 

Working Location

• Offsite

Working Policy

• Remote

Travel

This Task Order requires travel, consisting of up to 3 visits to NCIA Brussels (one per quarter) for a maximum of one working day each visit. Travel dates will be planned during the Project Kick-off Meeting with NCIA Project Manager. The travel, lodging and associated expenses for travel are included in the price of the bid (NTE), such that the purchaser shall not be invoiced.

Extraordinary Travel (Purchaser Directed Travel) may be required to other NATO or non- ATO locations as necessary. In the event of such unforeseen meetings being called, the cost of all travel and subsistence will be addressed through a contract amendment.

Extraordinary Travel expenses will be reimbursed in accordance with Article 5.5 of AAS+ Framework Contract. Such costs will be set as a separate PO line with a not to exceed value to cover and reimburse of actual expenses upon submissions of all receipts and invoices in line with NCIA processes.

Security Clearance

• Valid National or NATO Secret personal security clearance

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 Unstructured AI Team

We’re shaping the way some of the largest organizations in the world manage data by helping customers connect the right data and insights for all Data Citizens. We are building a team of exceptional people to help us deliver on that promise. As a Deployed Engineer, you are the guiding force behind bringing Collibra's product and vision to customers and prospects. Engineers establish knowledgeable and trusted relationships from day one and serve as thoughtful technical advisors.

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.

Forward Deployed Engineer at Collibra are responsible for

• Own end-to-end technical delivery of Unstructured AI deployments — from first prototype to stable production across enterprise environments.
• Build and scale full-stack systems that process and enrich large volumes of unstructured content (PDFs, contracts, reports, and other document types).
• Embed closely with customer and field teams to understand their metadata, governance, and security needs - guiding how Unstructured AI integrates into their broader Collibra stack.
• Scope work, sequence delivery, and remove blockers early to ensure fast iteration cycles between product, research, and deployment teams.
• Balance scope, speed, and quality - making clear trade-offs to keep pilots moving and convert them into production rollouts.
• Codify repeatable patterns from customer projects into reusable connectors, enrichment modules, or playbooks that accelerate future deployments.
• Feed field insights back to Product and Research, identifying opportunities to improve product experience.
• Keep cross-functional teams aligned through clear communication, prioritization, and follow-through.

You have

• Shipped complex systems under ambiguity - balancing speed and precision in real customer environments.
• Written and reviewed production-grade code across backend (Python, FastAPI).
• Built or deployed document-processing systems and are comfortable with CI/CD, monitoring, and debugging tools.
• 2+ years of software engineering or technical deployment experience,  ideally involving enterprise integrations, AI data processing, or customer-facing delivery.
• Strong proficiency in Python (data processing, API development, and integrations).
• Proven ability to deliver production-grade systems that process large-scale unstructured data (PDFs, text, documents).
• Solid understanding of data pipelines, microservice architecture, and API design.
• Experience with cloud infrastructure (AWS, GCP, or Azure), Infrastructure as Code (Terraform) and containerization (Docker / Kubernetes).
• Experience with LLM-based or AI-driven enrichment models (classification, extraction, deduplication, PII detection).
• Familiar with metadata systems, data cataloging, or document AI workflows.
• Background in data governance, sensitive data detection, or enterprise integrations (Collibra, Databricks, Snowflake, etc.).
• A track record of codifying repeatable deployment patterns into tools, SDKs, or frameworks.
• Knowledge of security, compliance, and model evaluation best practices.
• A bachelor's degree in a technical field or equivalent related working experience.
• You must have work authorization to work in Brussels.

You are

• 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.
• Willing to gain hands-on experience with modern frontend development.
• Able to translate customer requirements into technical plans and deliver end-to-end.
• Strong communication and stakeholder-management skills across technical and business teams.
• Calm, structured decision-making under tight timelines or ambiguity.

Measures of Success

Within your first month, you will…

• Develop a deep understanding of how enterprises manage and transform unstructured data, including document pipelines, metadata systems, and retrieval architectures.
• Partner closely with former YC founders and senior product leadership to see how we run a fast, startup-style execution motion inside a scaled organization. You will then ship your first end-to-end feature across the stack (backend, infrastructure, and UI), directly improving the product used by real customers.

Within your third month, you will…

• Deploy the product and your features in multiple Fortune 500 customer environments, often working inside the customer’s cloud and data perimeter. You will serve as the connective tissue between GTM, Product, Engineering, and Customer teams, translating customer feedback into product direction and execution plans.

Within your sixth month, you will…

• Become an expert in context engineering, designing how data, metadata, and domain knowledge flow into AI systems to maximize reliability, relevance, and decision quality.
• Independently lead complex deployments, transforming unstructured and structured data to support AI-driven decision making at enterprise scale. You will use the Unstructured AI platform to build enterprise-grade AI products within customer environments, shaping how AI agents reason over real-world data.

Your Impact

We are seeking multiple highly skilled Full-Stack members of Technical Staff (MTS) to join our CoreAI organization, driving end-to-end development of AI systems across Cloud, Edge Devices, Mission Critical and Robotics platforms.

This role goes beyond pure research. You will operate across the full stack, from data, models, and infrastructure to system integration and production deployment, to deliver scalable, real-world AI solutions. You will work on cutting-edge applications spanning computer vision, NLU, multimodal AI (MLLMs), and GenAI, enabling intelligent perception, reasoning, and action in mission-critical environments.

As a senior technical leader, you will partner closely with research scientists, machine learning engineers, hardware, firmware, and product teams to translate advanced algorithms into robust, production-ready systems that operate reliably at scale.

Why This Role

You will have the opportunity to own and shape end-to-end AI systems that operate in real-world environments, bridging the gap between cutting-edge research and impactful production deployment. This role is ideal for engineers who thrive at the intersection of AI, systems, and product, and want to build scalable, high-impact solutions across cloud and edge.

What You’ll Do
Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see https://www.axon.com/company)

• EU: Finland, Belgium, UK

Responsibilities

• Own end-to-end system development across data pipelines, model development, evaluation, and deployment for AI-powered products.
• Design and build scalable, production-grade systems for real-time perception, multimodal understanding, and decision-making.
• Develop and deploy models across cloud and edge environments, including resource-constrained devices.
• Architect and optimize full-stack AI pipelines, including:
• Translate research advances in computer vision, NLU, GenAI, and multimodal LLMs into production systems.
• Collaborate cross-functionally with MLE, hardware, firmware, and product teams to integrate AI into real-world systems.
• Optimize solutions for hardware-specific acceleration (GPU, NPU, DSP) and edge deployment.
• Define and drive evaluation frameworks and metrics to ensure system performance, reliability, and safety.
• Lead technical direction for complex, ambiguous problems and influence system architecture across teams.
• Contribute to technical design docs, internal knowledge sharing, and long-term platform strategy.

Basic Qualifications

• Master’s, or PhD in Computer Science, Electrical Engineering, or related field
• 8+ years (L8) or 10+ years (L9) of industry experience building production systems
• Strong programming skills in Python/C++ and experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
• Proven experience delivering end-to-end systems from concept to production
• Deep expertise in one or more areas:
• Experience building and scaling distributed systems or cloud-based ML pipelines
• Experience optimizing models for latency, cost, and deployment constraints

Preferred Qualifications

• Experience deploying AI both on Cloud (AWS, AzureML), edge devices (e.g., mobile, embedded systems, robotics platforms on Qualcomm, NVIDIA, Intel)
• Familiarity with hardware acceleration frameworks (TensorRT, ONNX, SNPE, etc.)
• Experience with real-time systems and streaming data pipelines
• Knowledge of multimodal data processing (vision, audio, text, sensor fusion)
• Experience with AWS or other cloud platforms for large-scale inference and training
• Strong system design and architecture skills across cloud ↔ edge environments
• Track record of technical leadership, mentoring, and driving cross-team initiatives
• Experience in privacy-preserving AI, security, or safety-critical systems

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work

Location: This role is based out of our Brussels, Belgium office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesday through Friday, with flexibility to work remotely on Mondays. We believe connection fuels innovation, and our in-office culture is designed to support meaningful teamwork and mentorship.