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:

Top tech minds driving innovation in AI, cloud and digital platform modernization

• Supportive team and agile, startup-like culture
• Hybrid by design mode and opportunity to work remotely within Poland
• Chance to work abroad for up to 60 days annually
• Business-driven relocation opportunitiesWe provide growth opportunities:

Career development programs

Thought leadership, mentoring, soft skills and well-being programs

Certification (Anthropic, Gemini, GCP, Azure, AWS)

English classesWe cover it all:

Stable payParticipation in the Employee Stock Purchase Plan with a 15% discount

Benefits package (health insurance, multisport, shopping vouchers)

Referral bonuses up to $2,000Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more

Corporate, social and well-being events

Please, note:

Benefits listed above are available to employees onlyWe are open for working with Contractors. Terms of B2B cooperation agreements are agreed individuallyWe will reach out to selected candidates exclusively

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.