Generative AI Systems Architect

Quick Facts

Role: Generative AI Systems Architect. Focus: enterprise GenAI platform architecture across multiple clouds with scalable, secure LLM and agentic systems.

Description

Lead the architecture for an enterprise generative AI platform, creating reference architectures, guardrails, and roadmaps for LLMs, agentic applications, and tool integrations across multiple clouds. Translate business goals into platform designs and actionable delivery plans while partnering with engineering, security, data governance, and product teams. Mentor engineers and drive best practices in LLMOps/ModelOps.

Responsibilities

• Design enterprise generative AI reference architectures, blueprints, and reusable patterns
• Define multi-cloud platform foundations for networking, identity, and secrets management
• Lead LLMOps/ModelOps including model evaluation, safety, observability, and rollout strategies
• Create governance frameworks for agentic systems, including tool governance and Model Context Protocol (MCP)
• Ensure security, risk, and compliance standards with Responsible AI principles and PII controls
• Establish cost, reliability, and performance strategies using capacity planning and FinOps techniques
• Improve developer experience with CI/CD pipelines, golden paths, templates, and Infrastructure as Code (IaC)
• 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 (Docker, Kubernetes), plus API gateways/service meshes
• Proficiency in CI/CD and release management for ML/LLM workloads (Jenkins, GitHub Actions, GitLab CI, Azure DevOps)
• Understanding of LLM platforms (Azure AI Foundry, Azure OpenAI, AWS Bedrock, or Google Vertex AI)
• Familiarity with security-by-design principles and compliance frameworks for GenAI systems
• Advanced proficiency in English (B2+/C1)

Benefits

• Hybrid-by-design mode with remote work opportunity within Poland; possibility to work abroad up to 60 days annually; business-driven relocation opportunities
• Career development programs; thought leadership and mentoring; soft skills and well-being programs; certification support (Anthropic, Gemini, GCP, Azure, AWS); English classes
• Stable pay; Employee Stock Purchase Plan with a 15% discount; benefits package including health insurance and multisport; shopping vouchers; referral bonuses up to $2,000
• Office amenities and social/well-being events (entertainment and relaxation zones, table tennis/football, free snacks and coffee)
• Contractor option available on individual B2B terms