Agentic Forward Deployed Engineer

HCL Technologies B.V. Netherland; Amsterdam; On-site; EUR 120,000 - 180,000; Full time

Job summary

HCL Technologies B.V. Netherland is seeking an Agentic Forward Deployed Engineer in Amsterdam. The role focuses on advanced Python engineering, agent development using multiple ADK platforms, and enterprise-grade security practices across DevSecOps pipelines. Strong consulting and stakeholder management will be essential.

The candidate will lead small engineering teams, champion Responsible AI, and work with cross-functional groups to productionise agent-based solutions for clients.

Qualifications

• 8+ years of hands-on software/AI engineering experience.
• Strong Python coding, testing, and packaging discipline.
• Experience with agent orchestration and enterprise-grade security.

Responsibilities

• Design and deliver agent-based solutions in client environments.
• Lead and mentor small engineering teams across functions.
• Collaborate with architecture, data, security and delivery teams to production.

Skills

Python

Agent engineering

Prompt engineering

DevSecOps

Evaluation harnesses

Mentoring

Tools

Google ADK

LangGraph

CrewAI

OpenAI Agents SDK

AWS Bedrock AgentCore

Semantic Kernel

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.

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