Freelance Senior AI Engineer and Capability Coach opdracht

Opdrachtomschrijving Functieomschrijving APG Asset Management is establishing a Business AI & Self-Service (BAIS) Centre of Excellence to enable responsible, scalable and value-driven adoption of artificial intelligence. BAIS combines platform engineering and managed AI services with architecture, standards, governance, responsible AI, adoption and capability development. External specialists work as an integrated extension of BAIS and collaborate closely with internal employees and business, technology, security and control stakeholders. As Senior AI Engineer and Capability Coach, you combine hands-on AI engineering with a substantial responsibility for helping internal BAIS team members develop into experienced, increasingly independent AI engineers. You design, build, test and operationalize enterprise AI applications and reusable AI services together with internal engineers and the AI Architect, translating architectural principles into secure and maintainable solutions. Practical coaching, pairing and structured knowledge transfer are core assignment outcomes, not secondary activities. The aim is to deliver working solutions while building sustainable internal expertise and reducing dependency on external specialists.

Dit ga je doen: Design and develop AI and generative AI applications together with internal BAIS engineers, using APG-approved technologies and making engineering choices and trade-offs explicit Build RAG solutions covering document ingestion, indexing, retrieval, grounding and response generation. Develop AI agents and agent-based workflows where appropriate. Integrate AI solutions with enterprise data sources, APIs and existing applications. Create reusable components, libraries, connectors and application templates. Establish patterns for model interaction, prompt management, orchestration and document processing. Define and implement evaluation methods for accuracy, relevance, reliability, robustness, hallucinations and retrieval quality. Apply software engineering practices including version control, automated testing and CI/CD. Implement logging, monitoring, observability and lifecycle management with platform and operations teams. Coach internal engineers through pairing, reviews, practical workshops and technical walkthroughs. Maintain source code, configuration, technical documentation and operational handover material in APG-approved locations.

Dit breng je mee: We are looking for an experienced professional who combines specialist expertise with ownership, collaboration and clear communication. Ability to adapt explanations and coaching to different experience levels, clearly explain engineering trade-offs and progressively enable colleagues to take implementation responsibility. A strong commitment to developing internal expertise and avoiding long-term dependency on the external specialist.

Wat success looks like Capability development has been delivered as a substantial part of the assignment, alongside demonstrable progress on selected priority AI initiatives. Designated internal engineers have gained hands-on experience across the agreed AI engineering lifecycle through active participation in delivery. Agreed AI engineering activities can be completed by internal engineers without the external specialist leading the work. Delivered solutions can be explained, maintained, troubleshot and extended internally, within APG’s architecture, security and governance requirements. Reusable components, working examples, evaluation assets and engineering playbooks are documented and available in APG-approved locations. The handover includes clear internal responsibilities, outstanding engineering risks and a practical plan for continued capability development, without creating a new dependency on the external specialist.

De kandidaat wordt tijdens de inwerkperiode volledig op kantoor verwacht. Daarna wordt de kandidaat 2x per week op kantoor verwacht. De deskundige mag de standplaats zelf bepalen. Deskundige moet de werkzaamheden duidelijk kunnen overdragen en uitleggen aan het team.

De Eisen Senior hands-on experience in AI engineering or machine-learning engineering.Demonstrable experience operationalizing AI or generative AI solutions beyond isolated proofs of concept.Strong Python and software-engineering skills. Experience with testing, evaluation, monitoring and lifecycle management of AI solutions.Experience with cloud-based AI and data platforms. Ability to design reusable components and engineering patterns.Experience working under security, privacy, architecture and compliance constraints.Demonstrable experience combining senior hands-on engineering with structured coaching and capability transfer to internal teams.Experience helping software or data engineers develop practical AI engineering expertise through real delivery assignments, rather than relying solely on classroom training or demonstrations.Taal/talen: Dutch, English. Achtergrondcontrole vereist: Ja.

De Wensen Microsoft Azure AI services and Databricks experience.Experience with RAG, vector search, semantic search and document processing.Experience with AI agents, enterprise integration and APIs.Experience with MLOps, LLMOps, CI/CD and observability for AI applications.Experience in financial services or another regulated environment.Relevant Microsoft, Databricks or comparable professional certification.