Principal Software Engineer (Cloud Infrastructure and Platform Engineering)
Core
Architect production-ready autonomous AI systems and define the strategic roadmap for embedding intelligence into the developer lifecycle.
Role type
Principal AI Systems Engineer & Strategist
Builds
Production-grade autonomous AI agents, control loops, and harness environments for the developer lifecycle
Domain
Cloud Infrastructure, Platform Engineering, Applied AI, Cybersecurity
Deliverable
production ML models
Required skills
AI strategy execution, agentic AI solution design, RAG architecture, LLM orchestration, system design, harness engineering, Model Context Protocol (MCP), automated evaluation suites, business case modeling, AI governance and security
Preferred skills
Multi-cloud environment expertise, cross-functional leadership, organizational change management
Technologies
AWS, Azure, GCP, OCI, vector databases, hybrid search systems, function calling frameworks
Responsibilities
Identify and prioritize enterprise AI use cases tied to P&L metrics; Design and build execution environments for autonomous agents; Implement advanced RAG pipelines and evaluation metrics; Lead cross-functional initiatives to drive engineering metrics improvements.
Seniority
Principal, hands-on IC with strategic scope