Key Skills

Job Description

Job Role- Agentic Forward Deployed Engineer Location - Amsterdam, Netherlands Experience- 8+ Years Job Descrition: Advanced Python engineering — idiomatic, typed, tested and packaged code — on a solid software engineering foundation (design, version control, architecture). Other languages follow the engagement; Python is the core. Hands-on agent building with at least one ADK (Google ADK, LangGraph, CrewAI, OpenAI Agents SDK, AWS Bedrock AgentCore or Microsoft Agent Framework / Semantic Kernel). Solid command of agent engineering: prompt engineering, context engineering, prompt caching, RAG / context graphs, tool / function calling, MCP and multi-agent orchestration. Eval-driven development: designing evaluation harnesses and measuring agent quality, safety and reliability. Standards-based integration and DevSecOps: APIs, secure authentication and authorisation, IAM, CI/CD, observability, resilience and AgentOps. Ability to conceptualise a business problem as an agent quickly, and operate effectively in ambiguous, client-embedded settings. Client-facing consulting skills: discovery facilitation, process assessment, use-case selection, stakeholder management and executive communication. Comfortable working across account, consulting, architecture, data, security and delivery teams to get a solution to production. Responsible AI as a working discipline — applied throughout agent design, evaluation and production governance. Experience mentoring or leading small engineering teams. Preferred Skill Deep fluency in at least one ADK, with the breadth and judgement to pick up others and choose the right one per engagement. Deploying agents to managed runtimes at enterprise scale (e.g. Vertex AI Agent Engine, Bedrock AgentCore) with governance and cost control. Domain depth in a transformation area — finance operations, supply chain, HR, claims or compliance. Experience with an enterprise agent platform, including Responsible AI and governance at scale. A track record of turning agents into reusable accelerators or IP adopted beyond a single engagement, and spotting where else they apply. For more information on how we process your personal data, please refer to HCLTech’s Candidate Data Privacy Notice.

Core Responsibilities

Build and deploy production-ready AI agents, integrating them securely with enterprise systems and evaluating their quality, safety, and reliability. Work directly with clients and cross-functional teams to identify business use cases, guide solutions from discovery through production, and develop reusable agent accelerators.

Requirements

Requires 8+ years of experience, strong Python software engineering skills, hands-on experience with at least one agent development kit, and expertise in agent engineering, evaluation, integration, and DevSecOps. Candidates should also have client-facing consulting and communication skills, apply Responsible AI practices, and have experience mentoring or leading small engineering teams.