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 LLM

Ops/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 LLM
• Ops/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 experience1+ 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, Cloud
• Formation)

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 offerWe gather like-minded people:

Engineering community of industry professionals

• Friendly team and enjoyable working environment
• Flexible schedule and opportunity to work remotely within Poland
• Chance to work abroad for up to 60 days annually
• Business-driven relocation opportunitiesWe provide growth opportunities:

Outstanding career roadmap

Leadership development, career advising, soft skills, and well-being programs

Certification (GCP, Azure, AWS)

Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru

English classesWe cover it all:

Stable income (Employment Contract or B2B)

Participation in the Employee Stock Purchase Plan

Benefits package (health insurance, multisport, shopping vouchers)

Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more

• Referral bonuses
• Corporate, social and well-being events
• Please, note:

The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview.

We will reach out to selected candidates exclusively.

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.