Generative AI Systems Architect

Quick Facts

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

Description

Lead and define the architecture for an enterprise GenAI platform by creating reference architectures, guardrails, and roadmaps. Design multi-cloud foundations and drive LLMOps/ModelOps for LLMs, agentic applications, and tool integrations, ensuring safety, evaluation, observability, and reliable rollout strategies. Collaborate across engineering, security, data governance, and product teams to translate business goals into actionable platform designs and delivery plans.

Responsibilities

• Design enterprise generative AI reference architectures, blueprints, and reusable patterns
• Define multi-cloud platform foundations (networking, identity, secrets management)
• Lead LLMOps/ModelOps: model evaluation, safety, observability, rollout
• Create governance frameworks for agentic systems, including tool governance and Model Context Protocol (MCP)
• Ensure compliance with security, risk, and compliance standards; apply Responsible AI principles and PII controls
• Establish cost efficiency, reliability, and performance strategies using capacity planning and FinOps
• Improve developer experience with CI/CD pipelines, golden paths, templates, and Infrastructure as Code (IaC)
• Partner 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 Azure/AWS/GCP and IaC tools (Terraform, Bicep, CDK, CloudFormation)
• Competency in Docker, Kubernetes, API gateways, and/or 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, Google Vertex AI)
• Familiarity with security-by-design and GenAI-specific compliance frameworks
• 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 and potential business-driven relocation opportunities
• Career development programs and mentoring/soft skills/well-being programs
• Certification support (Anthropic, Gemini, GCP, Azure, AWS), plus English classes
• Stable pay, Employee Stock Purchase Plan with 15% discount
• Benefits package (health insurance, multisport, shopping vouchers), referral bonuses up to $2,000
• Office amenities and corporate/social/well-being events
• Benefits apply to employees; contractors can be considered under individually agreed B2B terms