AI Engineering Manager
Core
Lead a multidisciplinary team delivering GenAI-powered solutions, agentic AI systems, LLM-integrated applications, and retrieval-enabled intelligent products.
Role type
Senior IC Engineering Manager (AI/ML)
Builds
Scalable, secure, and business-relevant AI and ML solutions from discovery through production operation.
Domain
Enterprise AI / Generative AI / Machine Learning
Deliverable
production ML models | product features | infrastructure
Required skills
Technical leadership, architectural decision-making, hands-on LLM orchestration, RAG implementation, MLOps, cloud-native delivery, team mentoring, product ownership, SDLC discipline, cost governance, observability.
Preferred skills
Experience with agent-to-agent interaction patterns, Model Context Protocol (MCP), prompt engineering frameworks, internal accelerator scaling.
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 / AKS, Azure Machine Learning, Databricks, MLflow, Application Insights, Azure Monitor, OpenTelemetry, Datadog, New Relic.
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 agent orchestration; oversee ML model development and operationalization; establish SDLC and build-own-operate practices; drive reuse through shared components and frameworks; coordinate with platform and security teams; manage hiring and performance development; track KPIs for delivery and model quality.
Seniority
Senior, hands-on IC with people management