GenAI Engineer - Agentic SWAT

Are you driven by solving the hardest AI problems under real-world pressure? Join the Agentic SWAT team within the AI Center of Excellence at Nationale Nederlanden (NN).

The Agentic SWAT is deployed on the most complex, high-impact, and time-sensitive AI challenges across the organization-where classical solutions fall short and agentic systems shine.

As a GenAI Engineer in the Agentic SWAT, you will design and deliver advanced, multi-agent AI solutions end-to-end: from problem discovery and rapid prototyping to hardened production deployments. You will operate at the intersection of software engineering, applied AI, and business transformation, tackling challenges that directly affect customers, risk, compliance, and operational excellence.

You will design, build, and operationalize agentic AI solutions that address urgent and strategically critical business problems. You can work highly autonomous, driving innovation of you will move fast while maintaining enterprise-grade quality, security, and reliability. Key responsibilities include:

• Design and develop agent-based AI systems using modern frameworks (e.g. LangChain, LangGraph), including orchestration of multiple agents, tools, and reasoning steps
• Rapidly translate ambiguous or high-level business problems into concrete AI architectures and working solutions
• Bring GenAI solutions to production as secure, scalable APIs and services, fully integrated into the NN technology landscape
• Work hands-on across the full lifecycle: prototyping, validation, productionization, monitoring, and continuous improvement
• Collaborate intensively with business stakeholders, Product Owners, Data Scientists, architects, and platform teams in short, high-impact engagements
• Engineer for reliability, explainability, latency, and cost control, given the business-critical nature of SWAT use cases
• Establish technical patterns and lessons learned that can later be transferred to asset teams or platforms
• Act as a technical sparring partner for business stakeholders, ensuring use case implementation at all business units
• Continuously explore emerging agentic patterns, tooling, and model capabilities-and apply them pragmatically

NN invests in an inclusive, inspiring work environment and in skills and competences for the future. We match this with employee benefits that are in line with what is needed today and in the future. This way, we offer our employees the opportunity to get the best out of themselves.

You are hands-on engineer who thrives in complex environments. You are comfortable with uncertainty, enjoy ownership, and can balance speed with robustness. You communicate clearly with both technical and non-technical stakeholders and take pride in delivering solutions that actually work in production. You bring:

• A Bachelor's or Master's degree in Computer Science, Engineering, AI, Data Science or a related field
• 3-6+ years of experience in software engineering, platform engineering, or applied ML in production environments
• Strong experience in Python, FastAPI, and asynchronous application design
• Hands-on experience with agentic LLM frameworks (e.g. LangChain, LangGraph) and tool/function calling
• Proven ability to productionize AI solutions, including CI/CD, testing, monitoring, security, and governance
• Solid understanding of the data science lifecycle and close collaboration with data scientists
• Experience with Azure Cloud, Docker, and Kubernetes
• Experience with infrastructure-as-code and automation (Git, Terraform, CI/CD pipelines)
• The ability to independently deliver complex, high-impact AI solutions in close collaboration with the business

You will be part of the Agentic SWAT team within the AI Center of Excellence. The team works closely with senior stakeholders across business units, platform teams, architects, and data & AI specialists. After SWAT engagements, your solutions and insights help shape reusable assets, standards, and best practices across the organization.

If you have any questions about the job or the process, you can reach out to Liselotte van der Zeeuw - Senior Talent Acquisition Specialist Data & AI via Liselotte.van.der.zeeuw1@nn-group.com.