Generative AI Systems 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)

Benefits

With us you can:

  • Work on a flexible schedule remotely or from any of our comfortable offices or coworking spaces in Ukraine
  • Receive the necessary equipment to perform your work tasks
  • Change projects and technology stacks within EPAM
  • Gain experience in various business domains (Insurance, E-commerce, Healthcare, Finance, Travelling, Media, Artificial Intelligence, and more)
  • Relocation opportunities may be available for eligible candidates, depending on the role and openings at other EPAM locations
  • Participate in volunteer, charity programs and communities (both technical and interest-based)

We focus on your professional growth:

  • You can plan your individual career path together with your manager
  • Receive regular feedback from colleagues
  • Improve your English for free with certified teachers (Speaking Clubs, client interview preparation courses, etc.)
  • Get the opportunity to undergo free training and certification in AWS, GCP, or Azure Clouds
  • Use the internal E-learn training program (18,200+ specialized training and mentoring programs)
  • Access corporate accounts on LinkedIn Learning, Get Abstract and other partner resources
  • Study at EPAM Solution Architecture School with the instructors who are practicing architects
  • Develop as a leader, join Delivery Management, Resource Management, Leadership Essentials school and more
  • Participate in internal communities (500+ meetups, technical discussions, brainstorming sessions, online events and conferences annually)

What we offer:

  • Vacation and sick leave (including a sick leave without a medical certificate)
  • A wide range of Voluntary Medical Insurance programs providing both medical treatment and various preventive options (including sports activities)
  • Medical insurance for family members at corporate rates
  • Company support during significant life events (childbirth or adoption, marriage, etc.)
  • Support for psychological comfort: discounts on services from mental health specialists or coaches, thematic training
  • E-kids program - a free programming language training program for EPAMers' children

See also

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