Generative AI Platforms Architect

We are seeking a skilled Generative AI Platforms Architect to lead and define the architecture for our enterprise GenAI platform.

The role involves creating reference architectures, guardrails, and roadmaps to deliver scalable and secure AI solutions, including LLMs, agentic applications, and tool integrations, across multiple clouds. By collaborating with engineering, security, data governance, and product teams, the Architect will translate business goals into platform designs and actionable delivery plans, while mentoring engineers and advocating for best practices in LLMOps/ModelOps.

Responsibilities

• Design enterprise generative AI reference architectures, blueprints, and reusable patterns
• Define multi-cloud platform foundations addressing networking, identity, and secrets management
• Lead efforts in LLMOps/ModelOps, focusing on model evaluation, safety, observability, and rollout strategies
• Create frameworks and governance for agentic systems, including tool governance and the Model Context Protocol (MCP)
• Ensure systems comply with security, risk, and compliance standards, with Responsible AI principles and PII controls applied
• Establish strategies for cost efficiency, reliability, and performance using capacity planning and FinOps techniques
• Improve developer experience through CI/CD pipelines, golden paths, templates, and Infrastructure as Code (IaC) techniques
• Collaborate with cross-functional teams to align system requirements with strategic objectives

Requirements

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience
• 1+ years in architecture roles involving cloud, data, or production Generative AI/LLM systems
• Knowledge of cloud platforms (Azure, AWS, GCP) and IaC tools (Terraform, Bicep, CDK, CloudFormation)
• Competency in containerization and orchestration technologies (Docker, Kubernetes), as well as API gateways/service meshes
• Proficiency in CI/CD and release management for ML/LLM workloads (Jenkins, GitHub Actions, GitLab CI, Azure DevOps)
• Understanding of Large Language Model (LLM) platforms like Azure AI Foundry, Azure OpenAI, AWS Bedrock, or Google Vertex AI
• Familiarity with security-by-design principles and compliance frameworks tailored to GenAI systems
• Advanced proficiency in English (B2+/C1)

We offer

CONTINUOUS UPSKILLING, LEARNING & DEVELOPMENT

• Diversity of tasks and projects
• Assessment center for objective review of competency level
• Personal development plan
• Mentoring programs and leadership development
• Certification and professional development support 
• Access to learning platforms including more than 2,500 internal courses
• English courses taught by certified teachers

CORPORATE BENEFITS

• Extra leave days
• Referral bonuses

COMPENSATION PACKAGE

• Competitive compensation paid in USD
• Regular salary and performance reviews

MEDICAL & HEALTHCARE

• Private health insurance
• Well-being events

WORKING ENVIRONMENT

• Recreation areas and kitchens
• Tea, coffee and snacks
• Sports equipment and game consoles
• IT Equipment
• Microsoft’s Software Assurance Home Use Program (HUP)

Please note that our Talent Attraction Team reviews applications and CVs submitted in English.

EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

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