AI Architect

Our client, a leading global multinational information technology services and consulting company, is recruiting an AI Architect to join their business in the Netherlands.

Position Title:

AI Architect

Position Type:

Permanent

Start Date:

ASAP

Location:

The Hague, Netherlands

Contact:

Bojan | +49 89 23 88 98 671

Role Summary

* We are looking for a hands-on AI Architect who designs and builds enterprise‑scale Generative AI systems. This is not a conceptual or advisory role.

* You will stay close to the code, guide low-level implementation, review pull requests, and help teams solve real production challenges in GenAI systems deployed on Azure and AWS.

* Telecoms domain

Experience

* 10+ years of experience in software engineering and enterprise architecture

* 5+ years of hands-on experience building AI/ML and Generative AI solutions

What You Will Do

* Actively design and build enterprise-grade GenAI solutions for real business use cases.

* Own end-to-end AI architecture, from model selection and retrieval strategy to APIs, orchestration, and cloud deployment.

* Write code and prototypes using Python, FastAPI, LangChain, LangGraph, and MCP.

* Design and implement RAG pipelines including chunking strategies, embeddings, vector search, and hybrid retrieval.

* Build and guide multi-agent systems with tool calling, memory/context management, and fallback handling.

* Dive into low-level technical details to unblock teams (retrieval quality, latency, hallucinations, cost issues).

* Make architecture-level trade-offs across accuracy, latency, scalability, reliability, and cost.

* Deploy and operate GenAI systems on Azure and AWS, ensuring scalability, resilience, and cost efficiency.

* Implement observability: logging, tracing, token usage tracking, and performance monitoring.

* Establish hands-on best practices for prompt versioning, evaluation, testing, and AI quality assurance.

* Implement guardrails and safety controls including content filtering, PII protection, hallucination mitigation, and access control.

* Design secure architectures using OAuth, Azure AD / IAM, RBAC, compliance, and audit logging.

* Review code, document architectural decisions, and mentor engineers by working alongside them.

What You Must Bring

* Strong hands-on experience with LLMs, RAG, Agentic AI, and prompt engineering.

* Proven ability to code, debug, and optimize production AI systems.

* Solid experience building GenAI solutions on both Azure and AWS (cloud-agnostic mindset).

Hands-on experience with:

* Azure OpenAI, Claude or similar LLM platforms

* LangChain, LangGraph, MCP

* Redis, PostgreSQL, Cosmos DB, vector databases

* Deep understanding of distributed systems and cloud-native architecture.

* Ability to guide teams at implementation level, not just through design documents

What Does This Role Is?

* A builder-architect role with real coding and implementation

* Deep involvement in design, debugging, and optimization

* Technical leadership through hands-on guidance