AI Engineering Manager
Ecolab (company site, opens in a new tab)10+ yrsBengaluruOn-siteDirect career pageEst. 35–60 LPA
Posted on 24 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead and mentor a multidisciplinary team of AI Engineers and Data Scientists delivering GenAI, agentic AI, and ML-powered solutions from design through production and continuous improvement.
- Own end-to-end delivery and architecture decisions for LLM systems, agent orchestration, RAG, ML pipelines, and cloud-native AI services ensuring scalability, security, and operational readiness.
- Own hiring, performance management, and foster engineering excellence including SDLC discipline, code/model reviews, and collaboration with product and platform teams.
Minimum Requirements
- 10+ years in software engineering or AI/ML engineering with production-grade intelligent systems experience.
- 4-5+ years leading or delivering AI/ML/GenAI/LLM-powered solutions in enterprise or product environments.
- Strong expertise in Python backend engineering, LLM platforms (e.g., Azure OpenAI, LangChain), retrieval-augmented generation, ML model development, and MLOps practices.
- Location: Bangalore (Hybrid). Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced technical leader capable of guiding senior engineers and data scientists on architecture, implementation trade-offs, and engineering standards across AI/ML and GenAI.
- Strategic operator comfortable translating business needs into scalable AI/ML engineering deliverables with strong delivery accountability and product ownership mindset.
- Skilled in managing build-own-operate environments with deep knowledge of AI governance, operational excellence, and cross-functional collaboration.