Generative AI Systems Architect

About the role

We are looking for a Generative AI Systems Architect to define and lead the architecture of our enterprise‑wide GenAI platform. You will translate business objectives into secure, scalable, multi‑cloud solutions that support large language models, agentic applications, and tool integrations.

Key responsibilities

• Design reference architectures, blueprints and reusable patterns for generative AI across Azure, AWS or GCP.
• Define multi‑cloud foundations covering networking, identity, secrets management and FinOps.
• Lead LLMOps/ModelOps initiatives, including model evaluation, safety, observability and rollout strategies.
• Create governance frameworks for agentic systems and the Model Context Protocol (MCP).
• Ensure compliance with security, risk, responsible AI and PII controls.
• Improve developer experience through CI/CD pipelines, golden paths, templates and IaC.
• Collaborate with engineering, security, data governance and product teams to align technical designs with strategic goals.

Required profile

• Bachelor’s degree in Computer Science, Engineering or related field, or equivalent experience.
• Proven experience architecting cloud‑based production Generative AI/LLM systems.
• Strong knowledge of at least one major cloud platform (Azure, AWS or GCP).
• Experience mentoring engineers and driving best practices in AI operations.

Required skills

• Infrastructure as Code: Terraform, Bicep, CDK, CloudFormation
• Containerization & orchestration: Docker, Kubernetes, API gateways / service meshes
• CI/CD & release management: Jenkins, GitHub Actions, GitLab CI, Azure DevOps
• LLM inference platforms: vLLM, Triton, TGI, Ray Serve, KServe, Seldon
• Observability & tracing: OpenTelemetry, Langfuse, Arize Phoenix, WhyLabs
• Vector databases and retrieval: Pinecone, Weaviate, Milvus, FAISS
• Agentic workflow frameworks: LangGraph, CrewAI, AutoGen‑like, Model Context Protocol (MCP)

What we offer

• Fully remote work from anywhere in Georgia, with optional access to modern offices in Tbilisi, Batumi and coworking spaces in Kutaisi.
• Opportunity to shape the AI platform strategy of a fast‑growing enterprise.
• Collaborative, cross‑functional environment focused on cutting‑edge AI technologies.