AI LLM Technology Architecture
Core
Design and deliver end-to-end AI platform architectures spanning classical ML, generative AI, and agentic systems to meet enterprise business objectives.
Role type
Senior AI/LLM Architect (Strategy & Hands-on IC)
Builds
Scalable, production-ready AI platforms, multi-agent systems, and comprehensive AI context layers for enterprise clients.
Domain
Enterprise AI, Generative AI, Agentic Systems, Cloud Infrastructure
Required skills
Enterprise AI architecture, Agentic system design, LLM operationalization, Python engineering, Data pipeline design, Security & governance frameworks, FinOps controls, System evaluation & observability, Technical leadership, Emerging AI pattern research
Preferred skills
Multi-agent orchestration, MCP Control Plane implementation, Knowledge graph integration, Vector search architecture, Model routing strategies
Technologies
Python, Cloud vendors (AWS/Azure/GCP), Arize, LangSmith, OTel, IAM/IAP, Vector search engines, Knowledge graphs
Responsibilities
Translate business strategy into technical vision and define non-functional requirements; Lead stakeholder workshops to align on feasibility and scope; Drive technology selection and build-vs-buy decisions; Architect model-agnostic multi-agent systems and agent registries; Design context layers including knowledge graphs and semantic retrieval; Architect foundation model adaptation and inference solutions; Define security, governance, and observability frameworks; Produce authoritative architecture artifacts and mentor cross-functional teams.
Seniority
Senior, hands-on IC with strategic ownership