Senior AI Architect - Microsoft Technologies

About the Position

We're seeking a Senior AI Architect to join our team in the Netherlands in a hybrid working mode. Specializing in Microsoft Azure, you'll design and scale production-grade AI platforms.

Responsibilities

• Define target-state architectures for AI platforms, assistants, RAG systems, agents, AI gateways, and AI-native engineering workflows
• Lead architecture discovery, maturity assessments, technical roadmaps, platform decisions, and delivery governance
• Design Azure-first architectures using Microsoft Foundry, Azure OpenAI, Azure AI Search, Azure API Management, AKS, Azure Functions, Application Insights, Azure Monitor, Key Vault, Microsoft Entra ID, Cosmos DB, PostgreSQL, and Microsoft Fabric where applicable
• Design AI-native engineering systems using GitHub Copilot, GitHub Enterprise, GitHub Advanced Security, agent-ready repositories, secure pull-request practices, and AI-assisted delivery patterns
• Design harnesses around AI systems, including agent instructions, tool contracts, MCP integrations, retrieval grounding, evaluation suites, telemetry, cost controls, policy controls, and human approval gates
• Define governance and operational frameworks for Responsible AI, security, identity, FinOps, and observability
• Translate business outcomes into target architecture, executive narratives, platform decisions, and delivery governance across client leadership, architecture, engineering, and security teams
• Facilitate workshops, hackathons, and enablement sessions focused on AI adoption, Copilot integration, and engineering excellence
• Convert practical experience into reusable patterns, accelerators, and architectural blueprints
• Mentor architects and engineers and contribute to presales and solution design initiatives

Requirements

• 10+ years in solution architecture, cloud platforms, or platform engineering
• Strong experience with enterprise AI, GenAI, agentic systems, RAG, and AI-native engineering
• Proficiency with Microsoft Azure and modern cloud-native architecture
• Knowledge of GitHub workflows (CI/CD, DevOps, IaC) and secure engineering practices
• Track record of moving AI initiatives beyond PoC to enterprise-grade production environments
• Hands-on capability to validate prototypes, review code, and guide engineering decisions
• Ability to explain how to make AI useful in production, not just impressive in a demo
• Capability to design platform architecture, governance models, adoption plans, and AI delivery workflows
• Confidence working across enterprise realities, leveraging Azure and GitHub pragmatically
• Strong communication skills with both executives and technical stakeholders

Nice to Have

• Experience with GitHub Copilot Enterprise adoption, AI-native SDLC transformation, GitHub Actions, and GitHub Advanced Security
• Familiarity with agent frameworks such as Semantic Kernel, LangChain, LangGraph, AutoGen, LlamaIndex, CrewAI, or similar
• Knowledge of Microsoft 365 Copilot, Copilot Studio, Microsoft Graph, Teams, SharePoint, or Power Platform integration
• Understanding of AI gateways, model routing, semantic caching, model abstractions, usage telemetry, and AI FinOps
• Background in enterprise infrastructure with Terraform/IaC, Kubernetes/AKS, CI/CD, and secure API gateway practices
• Awareness of agent reliability and security techniques, including workflow state, recovery, tool-permission boundaries, evaluation gates, prompt-injection defense, audit trails, rollback mechanisms, and human approval workflows
• Familiarity with compliance and governance standards such as GDPR, EU AI Act readiness, or ISO/IEC 42001
• Experience in regulated industries such as finance, healthcare, energy, retail, manufacturing, or public sector
• Knowledge of other AI ecosystems, including AWS Bedrock, Google Vertex AI, Databricks, Snowflake, Anthropic, OpenAI API, or Hugging Face

We Offer

• 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 + 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

All benefits and perks are subject to certain eligibility requirements

About the Company

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