Principal AI Engineer — ML / MLOps Platform Architect
Ecolab (company site, opens in a new tab)12+ yrsBengaluruOn-siteDirect career pageEst. 45–75 LPA
Posted on 21 Sept
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Job description
Structured overview of role & requirements
About 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.