Engineering Manager – AI Platforms

Overview

Engineering Manager for AI Platforms in Mumbai, bridging product vision with cloud-native engineering to deliver next-generation AI and Generative AI platforms.

What you'll do

• Manage and mentor a team of Software Engineers, ML & GenAI Engineers.
• Own the roadmap for AI platforms, moving from experimental models to enterprise foundations.
• Oversee scalable ML workflows from research notebooks to production-ready code.
• Drive MLOps/GenAIOps governance using CI/CD, model monitoring, and drift detection.
• Collaborate with Lead Data Scientists, Product Managers, and Cloud Architects.
• Provide architectural guidance for AI integrations with vector databases, LangChain/LlamaIndex, and multi-cloud setups.
• Ensure security, compliance (GDPR, SOC2), and Responsible AI guardrails.

What you'll need

• 8+ years of experience in data/software, including 3+ years in people management or technical leadership.
• Deep understanding of the data science lifecycle (EDA, feature engineering, advanced modeling).
• Hands-on experience building and scaling LLM-powered applications and RAG architectures.
• Proven experience with Kubernetes, Docker, and cloud-native AI services (AWS Bedrock/SageMaker, Azure AI, or Google Vertex AI).
• Solid understanding of vector databases (Milvus, Pinecone, Weaviate) and distributed system design.
• Strong background in Agile/Scrum, capacity planning, and managing globally distributed teams.
• Core workflow experience with Cursor, GitHub Copilot, or Claude Code.

Details

• Location: Mumbai, MH, India.
• Work mode: Onsite.