Manager AI-ML
Core
Lead a multidisciplinary team of AI Engineers and Data Scientists delivering GenAI-powered solutions, agentic AI systems, LLM-integrated applications, and retrieval-enabled intelligent products.
Role type
Senior IC Manager AI-ML
Builds
Scalable, secure, supportable GenAI and ML solutions from discovery through production operation
Domain
Enterprise AI / Machine Learning
Deliverable
production ML models | product features | infrastructure
Required skills
Technical leadership, architectural decision-making, hands-on LLM orchestration, RAG design, MLOps, cloud-native delivery, team mentoring, SDLC ownership, cost-aware engineering
Preferred skills
Agentic AI workflows, AI observability, enterprise AI platforms, forecasting/recommender systems, reusable GenAI accelerators, enterprise integration landscapes
Technologies
Azure OpenAI, Azure AI Studio, Semantic Kernel, LangChain, AutoGen, Azure AI Search, Pinecone, Weaviate, FAISS, Azure Functions, Azure Container Apps, FastAPI, Docker, Azure DevOps, GitHub Actions, Kubernetes, Azure Machine Learning, Databricks, MLflow, Application Insights, Azure Monitor, OpenTelemetry
Responsibilities
Lead and mentor AI Engineers and Data Scientists; Own end-to-end delivery of GenAI and ML solutions; Guide architectural decisions for LLM systems and RAG; Oversee ML model development and operationalization; Ensure MLOps practices and SDLC discipline; Translate business priorities into engineering plans; Review implementation choices for scalability and security; Partner with Product and Engineering leadership; Establish build-own-operate practices; Drive reuse via shared components and frameworks; Promote responsible AI and operational excellence; Coordinate with platform and security teams; Own hiring and performance development; Track KPIs for delivery and model quality; Act as technical escalation point
Seniority
Senior, hands-on IC with people management