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Generative AI Systems Architect

EPAM·Salary not specified

Primary stack

AI

Job description

About the Position

We are seeking a skilled Generative AI Systems 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

We gather like-minded people: Top tech minds driving innovation in AI, cloud and digital platform modernization. Our supportive team and agile, startup-like culture offer a hybrid by design mode and the opportunity to work remotely within Poland. There is also a chance to work abroad for up to 60 days annually and business-driven relocation opportunities.

We provide growth opportunities: Career development programs, thought leadership, mentoring, soft skills and well-being programs, and certifications (Anthropic, Gemini, GCP, Azure, AWS). We also offer English classes.

We cover it all: Stable pay, participation in the Employee Stock Purchase Plan with a 15% discount, benefits package (health insurance, multisport, shopping vouchers), referral bonuses up to $2,000, and offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee, and more. We also host corporate, social, and well-being events.

Please, note: Benefits listed above are available to employees only. We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually. We will reach out to selected candidates exclusively.

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