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
Deliverable
production ML models | product features | 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