azure engineer for enterprise AI transformation

EPAM Systems provides software development and IT consulting services. The role contributes to enterprise AI transformation programs supporting engineering productivity, intelligent automation and enterprise delivery.

• 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.

• 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;
• Nice to have: deep knowledge of Microsoft Foundry, Azure OpenAI, Azure AI Search and related Azure AI services, experience with GitHub toolchains including Copilot, GitHub Actions, Advanced Security and MCP-based integrations, practical knowledge of RAG implementations, familiarity with agent frameworks, strong programming skills in multiple languages, experience in evaluation and agent reliability engineering, exposure to Microsoft 365 Copilot integrations, familiarity with other AI ecosystems.

• 26 Paid holiday days;
• Pension plan scheme;
• Disability insurance (WGA Shortfall insurance);
• Long-term disability insurance (WIA Top up insurance);
• EPAM Employee Stock Purchase Plan (ESPP);
• Commuting to work costs reimbursement;
• Laptop, corporate simcard and corporate mobile device subject to certain eligibility requirements;
• Bike lease;
• Employee Assistance Program;
• Corporate Programs including Employee Referral Program with rewards;
• Learning and development opportunities including in-house training and coaching, professional certifications and courses;
• Relocation to the Netherlands.