AI Engineering Manager

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com We are looking for an AI Engineering Manager to lead the architecture, development, and delivery of Generative AI and Agentic AI solutions across the Microsoft Azure ecosystem. This is a technical leadership role, not a traditional people-management position. The ideal candidate will have deep expertise in Azure AI Foundry, Microsoft Fabric, RAG, knowledge graphs, agentic workflows, AI agents, skills, and evaluation frameworks, combined with experience leading highly technical engineering teams. The AI Engineering Manager will define technical direction, establish engineering standards, mentor senior engineers, and remain close enough to the technology to make and challenge key architecture decisions. Key Responsibilities Define the technical strategy for Generative AI and Agentic AI solutions built primarily on Microsoft Azure. Lead the architecture and delivery of solutions using Azure AI Foundry and Microsoft Fabric. Define scalable patterns for agentic workflows, including agents, skills, tools, orchestration, memory, and enterprise system integration. Lead the design of RAG and knowledge-based AI architectures, including retrieval, chunking, embeddings, vector search, grounding, and knowledge graphs. Establish technical standards for building, testing, evaluating, and deploying AI applications. Define and oversee AI eval