AI Engineering Manager
Blend360Remotely
Listed on 2 job boards, which is a stronger signal than one board alone.
azuremicrosoft fabricragknowledge graphsvector searchazure ai foundryembedding
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Job Description
📋 Description
- Lead architecture, development, and delivery of Generative AI and Agentic AI on Azure.
- Technical leadership to define direction, standards, and mentor senior engineers.
- Guide architecture reviews and productionization of AI solutions.
- Collaborate with Product, Data, and Business leadership on AI opportunities.
- Establish reusable frameworks and manage risks across multiple AI initiatives.
🎯 Requirements
- Deep hands-on Azure AI Foundry experience (required).
- Strong agentic AI / workflows and RAG knowledge (required).
- Knowledge graphs, embeddings, vector search, retrieval (required).
- Experience with AI agents, skills, tools, orchestration patterns (required).
- LLM evaluation frameworks, Python and cloud-native architectures (required).
- Strong communication and technical leadership skills; production-scale delivery (required).
🎁 Benefits
- Learning opportunities; certifications in AWS, Databricks, Snowflake.
- Udemy Business access; English lessons; AI learning paths.
- Travel opportunities for conferences; mentoring and career development.
- Company-provided equipment; flexible working options.
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