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

- 26 paid holiday days
- Pension plan
- Disability insurance
- Long-term disability insurance
- Employee Stock Purchase Plan (ESPP)
- Commuting to work - costs reimbursement

Responsabilidades
- 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

Requisitos principales
- 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

- 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) - EPAM Systems (Barcelona)
🏢 Epam Systems
📍 Barcelona