Engineering Chapter Lead – AI & Agentic Platforms

Vacancy published date 06-07-2026 The ING tribe Global Workplace Services (WPS) is responsible for the digital workplace of all ING employees worldwide. We ensure our colleagues can work simply and safely in a modern, hybrid world using Microsoft cloud technologies and enterprise platforms. We are now accelerating the transformation toward an AI-first Digital Workplace, leveraging Copilot, agentic AI, and automation to fundamentally improve employee productivity and experience. The Team You will lead an engineering chapter of highly skilled engineers across squads, ensuring strong engineering craftsmanship, knowledge development, and consistent delivery across the IT Area and our main business partners (incl. ING Analytics, Enterprise Architecture, Engineering, Risk, Security, Compliance) You work in a global setup across Netherlands, Poland, and hubs, collaborating with Product Managers, IT Area Leads, and cross-domain stakeholders. Role & Responsibilities For the role we are looking for someone to be able to execute the following responsibilities: Leadership & Delivery Accountability Accountable for end-to-end delivery of AI-driven capabilities through your engineering team Translate product priorities into clear engineering approach, architecture, and delivery plans Lead, coach, and develop engineers (performance, growth, hiring) Ensure quality, reliability, and scalability of solutions in production Manage delivery performance, resolve blockers, and intervene when off-track AI Engineering & Technical Leadership You will personally shape the technical direction of global AI initiatives: Architect enterprise-grade AI and multi-agent systems (Copilot, GenAI agents, orchestration frameworks) Lead design of agentic workflows (multi-agent reasoning, routing, integrations) Define and implement AI platform architecture, RAG pipelines, and integrations with enterprise systems Ensure AI systems are scalable, secure, observable, and compliant Drive technical decision-making, architecture reviews, and engineering standards AI Product Engineering & Integration Build and scale Copilot / M365 agents and enterprise AI use-cases Design API-driven integrations with systems (ServiceNow, Azure DevOps, M365, Graph, Workday, etc) Implement AI-enabled workflows embedded in enterprise platforms and Sofware Development Lifecycle (SDLC) processes Define measurement frameworks, evaluation metrics, and feedback loops for AI systems Operational Excellence & Risk Ensure AI reliability, monitoring, and continuous improvement loops Drive AI safety, governance, observability, and risk mitigation frameworks Guarantee compliance with security, data protection, and regulatory standards Strategic & Innovation Contribution Contribute to AI strategy, roadmap, and long-term platform evolution Lead innovation and experimentation in AI-first workplace solutions Translate emerging AI trends into practical ING use cases and capabilities How to succeed We hire smart people like you for your potential. Our biggest expectation is that you’ll stay curious. Keep learning. Take on responsibility. In return, we’ll back you to develop into an even more awesome version of yourself. Your Profile (Senior Engineering Leader) 10+ years in software engineering, with proven leadership of engineering teams Experience leading mission-critical or large-scale engineering delivery (GJA 17–18 scope) Strong experience in enterprise environments with complex dependencies and stakeholders Senior AI Technical Engineering Skills This role requires hands-on technical credibility at expert level (not theoretical). AI / GenAI Engineering Deep expertise in LLMs and GenAI systems (design, architecture, optimization) Experience building multi-agent systems (LangChain, LangGraph, LlamaIndex, Copilot Studio, etc.) Strong experience with prompt engineering, evaluation, and optimization frameworks AI Architecture & Platforms Design of enterprise-scale AI platforms and pipelines Experience with RAG architectures, vector databases, retrieval optimization Experience with AI model integration via APIs and enterprise systems Production AI Engineering Strong software engineering (Python, APIs, services, CI/CD) for AI systems Experience deploying and operating AI solutions at scale (monitoring, observability, performance) Expertise in AI model evaluation, metrics, and lifecycle management AI Safety, Security & Governance Experience implementing AI safety, guardrails, and risk controls Strong understanding of AI ethics, explainability, and privacy Enterprise Integration Experience integrating AI into enterprise platforms (M365, ServiceNow, DevOps, knowledge systems) Core Engineering Skills Strong system design (distributed systems, APIs, event-driven architecture) DevOps mindset (CI/CD, automation, release strategies) Reliability engineering (monitoring, SRE practices, performance tuning) Security-by-design and risk awareness Leadership & Behaviour As Engineering Lead you will: Build high-performing teams and develop talent Drive results and accountability in complex environments Influence stakeholders across domains and senior levels Operate effectively in ambiguity and transformation Rewards and benefits We want to make sure that it’s possible for you to strike the right balance between your career and your private life. Find out more about our employment conditions. The benefits of working with us at ING include: 25-28 vacation days depending on contract Pension scheme 13th month salary 8% Holiday payment Hybrid working Personal growth and challenging work with endless possibilities An informal working environment with innovative colleagues About us Curious about how ING empowers people and businesses to move forward? Discover what we do and what we can offer you . Questions? Please visit our Frequently Asked Questions section to find some answers on questions you might have. Contact the recruiter attached to the advertisement. Want to apply directly? Please upload your CV and motivation letter by clicking the ‘Apply’ button.