Experteer Overview As a Senior AI Platform Engineer, you will design and build production-grade AI systems on Azure, enabling engineering teams to adopt AI-native practices.

You'll own end-to-end delivery for enterprise AI initiatives, from RAG pipelines to governance and automation, ensuring scalable, secure deployments.

You'll collaborate with architects, engineers, and client teams to ship real AI-driven workflows, not prototypes, with a strong focus on production readiness and measurable impact.

This role centers on transforming engineering productivity and intelligent automation at scale, in a hybrid, multi-location setup.

Compensaciones / Ventajas • Build RAG pipelines, AI assistants, agent workflows, AI gateway components, MCP-based integrations and reusable platform elements • Implement Azure AI solutions using Microsoft Foundry, Azure OpenAI, Azure AI Search, Azure Functions, Azure API Management, AKS, Azure Container Apps, Key Vault, Cosmos DB and monitoring tools • Deliver AI-native engineering workflows using GitHub Copilot, GitHub Actions, GitHub Advanced Security and secure pull-request patterns • Apply harness engineering patterns for AI systems, including agent instructions, tool contracts, retrieval grounding, evaluation suites, telemetry, safety checks, cost tracking and human approval gates • Build CI/CD pipelines, IaC automation, observability stacks and deployment frameworks for AI workloads • Create reusable templates, reference implementations,



demos and onboarding kits for client teams • Own one or more implementation workstreams such as retrieval, orchestration, AI gateways or Copilot enablement • Mentor engineers, review code and support architecture decisions for AI-assisted engineering adoption Responsabilidades • 6+ years of experience in software engineering, cloud engineering, DevOps or platform engineering • Hands-on experience with GenAI, RAG, agentic systems, copilots and AI platform automation • Proven coding skills in Python, TypeScript, C#, Java or Go for production-grade APIs, back-end services and infrastructure automation • Strong experience with Microsoft Azure and cloud-native architectures • Knowledge of containers, Kubernetes, serverless models and Infrastructure-as-Code practices • Familiarity with security, identity, logging, monitoring, cost optimization and operational readiness principles • Ability to demonstrate production-ready AI systems: tested, deployed, monitored and supported at scale • Practical experience mentoring teams and guiding AI-assisted SDLC with quality and governance in mind • Strong communication and collaboration skills adaptable to both technical and business environments Requisitos principales • 26 paid holiday days • Pension plan • Disability insurance • Long-term disability insurance • Employee Stock Purchase Plan (ESPP) • Commuting to work - costs reimbursement

📌 Senior Ai Platform Engineer/Ai Architect - Microsoft Technologies (Relocation To The Netherlands) (Barcelona)
🏢 Epam Systems
📍 Barcelona