Principal AI Engineer — ML / MLOps Platform Architect
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Protocol Intelligence
Data-driven signals on your job's competitivenessSenior specialized AI platform role in a metro location yields medium competition.
Highly specialized LLM, Agentic AI, MLOps and cloud platform expertise limits cross-industry transferability.
Explicit 12+ years, mandatory enterprise AI/MLOps leadership, and specific platform skills create high strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Architect and lead enterprise-scale AI/MLOps platforms including foundation models, Agentic AI frameworks, and AI governance.
Own model lifecycle management: training, deployment, monitoring, optimization, and retirement with automated ModelOps pipelines.
Drive AI gateway architecture, multi-model routing, token optimization, and scalable AI platform engineering on cloud platforms such as Databricks and Azure.
Minimum Requirements
Bachelor's or Master's degree in Computer Science, AI, Data Science, Engineering, or related field.
12+ years of experience in Software Engineering, Machine Learning, AI Platform Engineering, or Cloud Architecture.
5+ years leading enterprise AI/ML platform implementations with production deployment of large-scale AI, LLM, or Agentic AI solutions.
Work Experience Required: 12+ years overall, 5+ years in leadership of enterprise AI platforms.
Ideal Candidate Profile
Deep expertise combining machine learning, cloud architecture, MLOps, and platform engineering at enterprise scale.
Experienced in building secure, scalable, resilient AI systems with automated model lifecycle and governance controls.
Technical leadership with hands-on architecture skills and ability to drive AI transformation across diverse business domains.