Engineering Manager – AI Platforms
Core
Lead the design and delivery of next-generation AI and Generative AI platforms, bridging Data Science research with production-grade software engineering to create scalable, secure solutions for global clients.
Role type
Engineering Manager – AI Platforms
Builds
Enterprise-grade AI platforms supporting RAG, agentic workflows, and automated model fine-tuning at scale.
Domain
Management Consulting / Generative AI / Cloud-Native Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Team leadership and mentoring, Platform strategy and roadmap ownership, MLOps and GenAIOps governance, Cross-functional collaboration, Technical architectural oversight, Security and compliance management
Preferred skills
Experience with Cursor, GitHub Copilot, or Claude Code as core workflow tools
Technologies
Kubernetes, Docker, AWS Bedrock/SageMaker, Azure AI, Google Vertex AI, Milvus, Pinecone, Weaviate, LangChain, LlamaIndex
Responsibilities
Manage and coach a cross-functional team of Software Engineers and ML/GenAI Engineers, Own the roadmap for AI Platforms evolving from experimental to enterprise-grade, Oversee scalable machine learning workflows and model validation, Drive adoption of robust MLOps pipelines, Partner with Data Scientists and Product Managers to align execution with business objectives, Provide architectural guidance for complex AI integrations involving vector databases and multi-cloud environments
Seniority
Senior, hands-on IC with people management responsibilities
