AI Architect / Manager AI

Job Description

We are seeking an experienced AI Architect 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.

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, 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.

Qualifications

8+ years of overall IT experience, including 5 + years in AI / ML solutioning and 3 + years in Azure-based architecture.

Deep expertise in the Azure AI ecosystem—Azure Machine Learning, Azure Databricks, Azure AI Foundry, Microsoft Fabric, Azure Cognitive Services, Azure OpenAI, Azure Synapse, and Data Lake.

Strong proficiency in Python and major ML frameworks (PyTorch, TensorFlow, Scikit-learn).

Proven experience in MLOps and LLMOps design and automation using Azure DevOps, Docker, and Kubernetes.

Hands-on experience integrating AI solutions with Microsoft Fabric and Azure Data Factory for data preparation and governance.

Strong understanding of distributed systems, model lifecycle management, and AI system scalability.

Experience in LLM fine-tuning, prompt engineering, or AI solution integration with enterprise applications.

Excellent communication and stakeholder management skills with a strategic mindset.