Sr. Principal AI Researcher, AI Transformation
Core
Invent new agentic AI paradigms and build internal AI infrastructure, frameworks, and tools to elevate the productivity of thousands of internal engineers.
Role type
Sr. Principal AI Researcher (Applied AI & Agentic Systems)
Builds
Internal AI infrastructure, agentic AI systems, frameworks, and adoption programs for the global Cortex engineering organization.
Domain
Cybersecurity / Applied AI / Software Engineering
Deliverable
production ML models
Required skills
Agentic AI orchestration, RAG pipelines (standard/graph/hybrid), autonomous agent protocols, automated statistical evaluation, Python, TypeScript, Graph Databases, vector indices
Preferred skills
Secure data pipelines (RBAC, prompt injection mitigation), Google Cloud Platform (GCP), AI/ML data privacy and security
Technologies
LangChain, LlamaIndex, LangGraph, GCP, Graph Databases, vector indices
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 for model accuracy, latency, cost, and drift; Research and design advanced knowledge-retrieval architectures; Collaborate with core AI engineering to transition prototypes into reusable components.
Seniority
Principal, hands-on IC with strategy & mentorship
