AI Manager

About the job

We are seeking an experienced AI Manager with deep expertise in Azure AI, Microsoft Fabric, and Machine Learning ecosystems to design and implement enterprise-grade AI solutions. The ideal candidate combines strong technical leadership with hands-on experience architecting end-to-end AI / ML systems—from data readiness through model deployment—leveraging Azure's cloud-native and Fabric-based services. Key Responsibilities: - Architect and lead the design and implementation of AI / ML solutions on Azure Cloud (Azure Machine Learning, Azure Databricks, Synapse, Azure AI Foundry, Microsoft Fabric, Cognitive Services, Azure OpenAI etc.). - Define end-to-end AI architecture encompassing data pipelines, feature stores, model training, deployment, and monitoring. - Partner with stakeholders to translate business challenges into AI-driven solutions and technical blueprints. - Design scalable and secure architectures adhering to best practices in data governance, MLOps, LLMOps, and cost optimization. - Integrate Microsoft Fabric as the unified data foundation for AI workloads, ensuring governed, high-quality data access and lineage visibility. - Lead MLOps initiatives including model CI / CD, versioning, monitoring, and drift detection using Azure DevOps, Azure ML Pipelines, and Azure AI Foundry. - Contribute to the design, building, or working with event-driven architectures and relevant for asynchronous processing and system integration. - Experience developing and deploying LLM-powered features into production systems, translating experimental outputs into robust services with clear APIs. - Experience working within a standard software development lifecycle. - Evaluate and implement Generative AI (GenAI) and LLM-based solutions using Azure OpenAI, Cognitive Services, and frameworks such as LangChain or LangGraph. - Establish observability and monitoring frameworks using Azure Monitor, Application Insights, MLflow, and Databricks dashboards for AI workloads. - Collaborate with cross-functional teams—Data Engineers, Data Scientists, Software Engineers and DevOps to ensure seamless integration and delivery of AI products. - Provide technical mentorship and architectural guidance to engineering teams. - Stay current with emerging trends in AI / ML, cloud technologies, and GenAI advancements.

Requirements

• Azure AI
• Microsoft Fabric
• Machine Learning
• Python
• MLOps

Preferred Technologies

• Azure AI
• Microsoft Fabric
• Machine Learning
• Python
• MLOps

About the company

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.