Principal AI Engineer
Core
Define and drive technical direction for AI/ML systems, shaping architecture at the system level and solving complex integration problems for enterprise clients.
Role type
Principal AI Engineer (Generative AI & Systems Architecture)
Builds
Scalable ML platforms, LLM-powered agentic systems, and production-ready AI workflows integrated into enterprise operations.
Domain
Applied AI Engineering, Generative AI, Enterprise Software
Deliverable
production ML models | product features | infrastructure
Required skills
Generative AI development, Distributed systems design, AWS GenAI services, LLM orchestration (RAG, multi-agent), AI safety & governance, MLOps, Cloud-native architecture, API design, Cost optimization
Preferred skills
Prompt engineering, Vector databases, AI observability, Kubernetes, AI-forward coding tools (Claude, Cursor)
Technologies
AWS, Python, Docker, Kubernetes, Vector databases, LLM frameworks
Responsibilities
Define AI architecture and technical strategy, Build scalable ML pipelines and workflow orchestration, Architect LLM-powered systems with RAG and multi-agent patterns, Lead model development from research to production, Ensure AI reliability and security in production, Mentor engineering teams and shape technical culture
Seniority
Principal, hands-on IC with organizational leadership