Generative AI Systems Architect

Quick Facts

• Role: Generative AI Systems Architect
• Focus: Enterprise GenAI platform architecture across multiple clouds

Description

Lead the architecture of an enterprise generative AI platform by defining reference architectures, guardrails, and roadmaps for scalable and secure AI solutions—spanning LLMs, agentic applications, and tool integrations—across multiple clouds.

Responsibilities

• Design enterprise generative AI reference architectures, blueprints, and reusable patterns
• Establish multi-cloud platform foundations (networking, identity, secrets management)
• Drive LLMOps/ModelOps practices: model evaluation, safety, observability, and rollout strategies
• Build governance frameworks for agentic systems, including tool governance and the Model Context Protocol (MCP)
• Ensure security, risk, and compliance alignment using Responsible AI principles and PII controls
• Define cost, reliability, and performance strategies using capacity planning and FinOps
• Improve developer experience via CI/CD “golden paths,” templates, and Infrastructure as Code (IaC)
• Collaborate with cross-functional teams to align platform designs with strategic objectives

Requirements

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience
• 1+ years in architecture roles for cloud, data, or production Generative AI/LLM systems
• Knowledge of cloud platforms (Azure, AWS, GCP)
• Experience with IaC tools (Terraform, Bicep, CDK, CloudFormation)
• Competency with 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)
• Familiarity with LLM platforms such as Azure AI Foundry, Azure OpenAI, AWS Bedrock, or Google Vertex AI
• Security-by-design and GenAI-specific compliance/risk understanding
• Advanced English proficiency (B2+/C1)

Benefits

• Hybrid-by-design with opportunity to work remotely within Poland
• Chance to work abroad up to 60 days annually; business-driven relocation opportunities
• Career development programs, mentoring, and soft skills/well-being programs
• Certification support (Anthropic, Gemini, GCP, Azure, AWS)
• English classes
• Stable pay and Employee Stock Purchase Plan (15% discount)
• Benefits package (health insurance, multisport, shopping vouchers)
• Referral bonuses up to $2,000
• Offices with amenities and social/well-being events