OverviewAs 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 / Beneficios26 paid holiday days

Pension plan

Disability insurance

Long-term disability insurance

Employee Stock Purchase Plan (ESPP)

Commuting to work - costs reimbursement

ResponsabilidadesBuild 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

Requisitos principales6+ 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

Strong communication

Collaboration

Mentoring

Azure: Foundry, OpenAI, AI Search, Functions, API Management, AKS, Container Apps, Key Vault, Cosmos DB

GitHub: Copilot, Actions, Advanced Security

IaC, CI/CD, observability, deployment frameworks

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