AI LLM Technology Principal Architect (All Genders)
Core
Design and build advanced AI/LLM systems, specifically owning the AI context layer to ground systems in client business realities and ensure accurate, trustworthy outputs.
Role type
Principal Architect (AI/LLM)
Builds
Enterprise-grade AI systems, multi-agent systems, AI context layers, and reference architectures.
Domain
Artificial Intelligence / Large Language Models / Enterprise Software
Deliverable
production ML models
Required skills
Enterprise AI/ML architecture, Agentic AI patterns, LLM application architecture, Python, Cloud platforms, Data pipeline design, Security & Governance, FinOps, System evaluation frameworks
Preferred skills
Multi-agent system design, MCP Control Plane, Agent Registry, Semantic retrieval, Knowledge graphs, Vector search, Model routing, Observability (OTel)
Technologies
Python, Arize, LangSmith, OTel, MCP, IAM/IAP
Responsibilities
Translate business strategy into technical vision and NFRs; Lead stakeholder workshops; Drive technology selection (build-vs-buy); Architect model-agnostic multi-agent systems; Design Agent Registry and AI Gateway; Implement certification gates; Abstract core agent services (memory); Architect end-to-end data pipelines; Design foundation model adaptation strategies; Prototype high-throughput inferencing solutions; Define security, governance, and observability controls; Establish system evaluation frameworks; Maintain enterprise-wide AI reference architecture; Mentor cross-functional teams; Research emerging AI patterns.
Seniority
Principal, technical authority & leadership
