Generative AI Solutions Architect

Quick Facts

• Role: Generative AI Platforms Architect
• Focus: Enterprise GenAI platform architecture across multiple clouds
• Emphasis: LLMOps/ModelOps, governance, security, scalability, developer enablement

Description

Lead the architecture and define the platform for an enterprise generative AI (GenAI) solution, including LLMs, agentic applications, and tool integrations across multiple clouds. Create reference architectures, guardrails, and delivery roadmaps to enable scalable and secure GenAI capabilities. Mentor engineers and promote LLMOps/ModelOps best practices across evaluation, safety, observability, and rollout.

Responsibilities

• Design enterprise generative AI reference architectures, blueprints, and reusable patterns
• Define multi-cloud platform foundations addressing networking, identity, and secrets management
• Lead LLMOps/ModelOps initiatives: model evaluation, safety, observability, and rollout strategies
• Create governance frameworks for agentic systems, including tool governance and the Model Context Protocol (MCP)
• Ensure compliance with security, risk, and compliance standards, applying Responsible AI principles and PII controls
• Establish cost efficiency, reliability, and performance strategies using capacity planning and FinOps techniques
• Improve developer experience through 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 Docker, Kubernetes, and 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 and GenAI-relevant compliance frameworks
• Advanced English proficiency (B2+/C1)

Benefits

• Career development programs; thought leadership, mentoring, and soft skills/well-being programs
• Certifications (Anthropic, Gemini, GCP, Azure, AWS) and English classes
• Stable pay; Employee Stock Purchase Plan with a 15% discount
• Benefits package (health insurance, multisport, shopping vouchers)
• Referral bonuses up to $2,000
• Hybrid-by-design with option to work remotely within Poland; chance to work abroad up to 60 days annually; business-driven relocation opportunities
• Corporate, social, and well-being events; offices with entertainment and relaxation zones, table tennis and football, free snacks and coffee