Senior AI Solution Architect – Azure, Databricks & Agentic AI

About AI & Analytics:
Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.

By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant’s AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.

We are seeking a Senior AI Solution Architect to lead the design and implementation of enterprise-scale AI, Generative AI, and agentic AI solutions. This role will define scalable AI architectures leveraging Microsoft Azure, Azure Databricks, Microsoft Fabric, Large Language Models, RAG, and multi-agent frameworks. The ideal candidate will combine hands‑on AI engineering expertise with enterprise architecture, data platform, integration, security, and responsible AI capabilities.

This position requires a strategic technology leader who can translate business goals into secure, production‑ready AI solutions and guide cross‑functional teams through enterprise AI adoption.

• Define enterprise AI strategy, reference architectures, reusable design patterns, and governance standards aligned with business and technology objectives.
• Architect Generative AI and agentic AI solutions using Azure AI Foundry, Azure OpenAI, Azure AI Agent Service, LLMs, RAG, knowledge graphs, and vector databases.
• Design multi-agent systems using frameworks such as Lang Chain, Lang Graph, Semantic Kernel, Auto Gen, CrewAI, and Model Context Protocol (MCP).
• Establish orchestration patterns for tool calling, memory management, context engineering, autonomous workflows, multi-agent coordination, and human-in-the-loop controls.
• Design modern data platforms using Azure Databricks, Delta Lake, Microsoft Fabric, Azure Data Lake Storage, and Azure Synapse Analytics.
• Architect batch and real‑time data pipelines, data products, metadata, lineage, data quality, master data management, and self‑service analytics capabilities.
• Design secure, scalable, and resilient cloud-native solutions using AKS, Azure Functions, API Management, Cosmos DB, Azure AI Search, Event Hubs, Service Bus, and Azure SQL.
• Establish Responsible AI, model governance, evaluation, observability, explainability, security, privacy, and AI risk‑management frameworks.
• Lead architecture review boards, technical workshops, solution assessments, proofs of concept, modernization programs, and executive stakeholder discussions.
• Mentor architects, engineers, data scientists, and product teams while driving reusable AI platform capabilities and engineering best practices.

• 10+ years of experience in Solution Architecture, Enterprise Architecture, Cloud Architecture, Data Engineering, or Software Engineering.
• 5+ years of hands‑on experience delivering AI, Machine Learning, Data Science, or advanced analytics solutions.
• 3+ years of experience implementing enterprise Generative AI, RAG, LLM, or agentic AI solutions.
• Deep expertise in Microsoft Azure, including Azure AI Foundry, Azure OpenAI, Azure Machine…