Principal AI Engineer — ML / MLOps Platform Architect
Core
Architecting, building, and operationalizing enterprise-scale AI, Generative AI, and Agentic AI capabilities across Databricks, Azure AI Foundry, and cloud-native platforms.
Role type
Principal IC Machine Learning Engineer (LLM, Agentic AI & Model Platform)
Builds
Enterprise AI platforms, ModelOps pipelines, Agentic AI frameworks, AI Gateways, and model routing systems.
Domain
Enterprise AI / Generative AI / Cloud Infrastructure
Deliverable
production ML models
Required skills
Machine Learning, Large Language Models (LLM), Agentic AI, ModelOps, MLOps, Cloud Architecture, Platform Engineering, AI Governance, Token Optimization, Infrastructure as Code, GPU Infrastructure, Vector Search, RAG, SDK Development
Preferred skills
None stated
Technologies
Databricks, Azure AI Foundry, Azure Cloud, OpenAI, Anthropic, Google, Mosaic AI
Responsibilities
Own enterprise strategy for foundation and custom models; Architect end-to-end model lifecycle management; Design multi-agent orchestration and reasoning workflows; Build enterprise AI Gateway and dynamic model routing frameworks; Optimize token usage and AI infrastructure costs; Develop scalable AI platform services on cloud-native infrastructure.
Seniority
Principal, hands-on IC with technical leadership
