Senior Principal AI/ML Engineer (OCI)
Core
Senior technical owner for OCI AI platform capabilities, designing and operating scalable agentic AI systems, inference services, and workflow orchestration for enterprise environments.
Role type
Senior Principal AI/ML Engineer (Agentic Systems & Infrastructure)
Builds
Production-ready agentic AI systems, model serving infrastructure, agent runtimes, and LLMOps platforms.
Domain
Cloud Infrastructure (OCI) + Generative AI / Agentic Workflows
Required skills
Python, Kubernetes, Docker, LLM application patterns (RAG, tool calling, prompt design), distributed systems architecture, AI safety & governance, observability, SLIs/SLOs definition
Preferred skills
GPU inference optimization, model fine-tuning, agent evaluation frameworks, AI-assisted development tools, architectural standards definition
Technologies
LangGraph, LangChain, CrewAI, AutoGen, LlamaIndex, Kubernetes, Docker, Oracle Cloud Infrastructure, MCP, Vector Databases
Responsibilities
Design and architect scalable agentic AI systems for reasoning and multi-step task orchestration; lead technical strategy across infrastructure, security, and data teams; establish AgentOps and LLMOps practices for monitoring and safety; mentor senior engineers and shape engineering practices; own critical production outcomes for reliability and cost efficiency.
Seniority
Principal, hands-on IC with strategic influence
