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) - Epam Systems (Málaga)
🏢 Epam Systems
📍 Málaga