Senior AI Platform Architect - Azure & Enterprise AI

EPAM Systems

Málaga

Híbrido

EUR 120.000 - 180.000

Jornada completa

Hace 2 días

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Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

26 paid holiday days

Pension plan scheme

Disability insurance (WGA Shortfall)

Long-term disability insurance (WIA)

EPAM ESPP

Commuting to work - costs reimbursed

Laptop + corporate simcard + corporate

Bike lease

Employee Assistance Program

Learning and development opportunities

Descripción de la vacante

EPAM Systems is seeking a Senior AI Architect to join our team in the Netherlands in hybrid mode. You will help clients design and scale production-grade AI platforms on Microsoft Azure, bridging enterprise architecture, cloud-native engineering, governance and responsible AI.

You will shape large-scale AI programs, deliver enterprise-grade AI systems, mentor engineers, and collaborate with client leadership to drive secure, governed AI adoption across platforms such as Azure OpenAI, AKS and

Formación

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.

Responsabilidades

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