Senior AI Architect - Azure, Databricks & Agentic AI

Cognizant; Washington (District of Columbia); Presencial; USD 157.000 - 180.000; Tempo integral

Benefícios oferecidos por esta vaga

Medical/Dental/Vision/Life Insurance

Paid holidays & PTO

401(k) plan

Disability insurance

Parental Leave

Employee Stock Purchase Plan

Resumo da vaga

Cognizant in the United States (Washington, DC area) seeks a Senior AI Solution Architect to lead design and deployment of enterprise AI, Generative AI, and agentic AI solutions using Azure, Databricks, Fabric, and LLMs. You will translate business goals into secure, production-ready AI systems and guide cross-functional teams.

The role requires 10+ years in solution/enterprise architecture and 5+ years delivering AI projects, with deep Azure expertise and leadership of architecture reviews and

Qualificações

• 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 and related cloud services.
• Strong experience with Azure Databricks, Delta Lake, Lakehouse architecture, Microsoft Fabric, and modern data engineering patterns.
• Hands-on knowledge of LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, MCP, or comparable AI orchestration frameworks.
• Strong understanding of LLMs, embeddings, vector databases, RAG, knowledge graphs, AI agents, tool calling, memory, and multi-agent coordination.
• Experience designing API-first, event-driven, microservices, and cloud-native integration architectures for enterprise AI platforms.
• Strong knowledge of AI security, Zero Trust, identity management, data privacy, model governance, Responsible AI, and regulatory compliance.
• Proven experience leading cross-functional teams, architecture governance processes, and executive-level technology discussions.

Responsabilidades

• 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 LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, and 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.

Conhecimentos

AI architecture

Generative AI

LLMs

Multi-agent systems

Azure cloud

Data engineering

Leadership

Security & compliance

Ferramentas

Azure Databricks

Delta Lake

Microsoft Fabric

Azure Data Lake Storage

Azure Synapse Analytics

AKS

Azure Functions

API Management

Cosmos DB

Azure AI Search

Event Hubs

Service Bus

Descrição da vaga

Cognizant in the United States (Washington, DC area) seeks a Senior AI Solution Architect to lead design and deployment of enterprise AI, Generative AI, and agentic AI solutions using Azure, Databricks, Fabric, and LLMs. You will translate business goals into secure, production-ready AI systems and guide cross-functional teams.

The role requires 10+ years in solution/enterprise architecture and 5+ years delivering AI projects, with deep Azure expertise and leadership of architecture reviews and