Sr. Principal AI Researcher, AI Transformation
Core
Invent new agentic AI systems and infrastructure to elevate the productivity of thousands of internal engineers by building state-of-the-art, agentic AI systems.
Role type
Sr. Principal Applied AI Researcher (Agentic Systems)
Builds
Internal AI infrastructure, frameworks, agents, harnesses, methodologies, and adoption programs powered by cutting-edge LLMs.
Domain
Cybersecurity / Applied AI / Agentic Software Engineering
Deliverable
production ML models | product features
Required skills
Agentic AI orchestration, advanced RAG pipelines, GraphRAG frameworks, autonomous agent protocols, multi-agent communication, Model Context Protocol (MCP), automated statistical evaluation, Python, Typescript
Preferred skills
Secure data pipelines, prompt injection mitigation, Google Cloud Platform (GCP) services, data privacy and security for AI/ML
Technologies
LangChain, LlamaIndex, LangGraph, Graph Databases, vector indices, GCP
Responsibilities
Stay at the forefront of AI advancements in agentic coding; Build functional Proof of Concepts (PoCs) and architectural skeletons; Critically audit and challenge internal AI solutions; Design rigorous testing methodologies; Research and design advanced knowledge-retrieval architectures; Collaborate with core AI engineering to transition validated prototypes.
Seniority
Principal, hands-on IC with strategy & mentorship