AI Solutions Architect
Core
Design and build production-ready AI-native capabilities, including LLM features, agentic workflows, and RAG, embedded within solution teams.
Role type
Senior IC AI Solutions Architect (LLM & Agentic Systems)
Builds
Production vertical slices of AI features, agentic workflows, and RAG integrated with an AI middleware platform
Domain
Enterprise AI, Generative AI, Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
LLM-powered functionality implementation, evaluation engineering (golden datasets, rubrics, LLM-as-judge), agentic architecture (tool calling, orchestration, memory management), RAG and semantic search, cloud-native services, REST APIs, CI/CD, software engineering fundamentals, direct coding contributions
Preferred skills
Azure OpenAI, Azure Container Apps, Terraform, LiteLLM, Langfuse, product team coaching, use-case prioritization
Technologies
Azure, CI/CD, Cloud, LLM, Langfuse, RAG, REST, Terraform
Responsibilities
Co-build production vertical slices with solution team engineers, own evaluation engineering and hand ownership to the team, design and build reusable platform capabilities on the AI middleware, determine when to use generative AI versus deterministic approaches, implement model routing, guardrails, observability, and cost controls, coach engineers and product managers on AI-native software patterns, produce durable artifacts such as architecture notes and evaluation suites
Seniority
Senior, hands-on IC
