Solution Architect - Agentic AI

at Cognizant in Little Rock, Arkansas, United States

Job Description

About the role

We are seeking an experienced Solution Architect - Agentic AI to define and drive enterprise architecture for next-generation Agentic AI capabilities. In this role, you will shape reference architectures, platform standards, reusable frameworks, and governance models that enable scalable adoption of Agentic AI across the software development lifecycle and business domains.

You will work across technology and business stakeholders to establish robust, reusable AI agent capabilities and accelerate enterprise adoption.

In this role, you will

Define enterprise reference architectures for AI Agents, Agent Factory, Agent Runtime, AI Control Plane, and AgentOps platforms.

Establish architecture standards, design patterns, reusable frameworks, and implementation guardrails for Agentic AI solutions.

Lead the technical strategy for Agentic AI adoption across the software development lifecycle and business domains.

Drive architecture reviews and technical governance for enterprise AI initiatives.

Architect reusable agent capabilities, including memory services, context engineering, workflow orchestration, business rules engines, and tool registries.

Define Model Context Protocol (MCP) integration patterns and agent-to-agent communication frameworks.

Accelerate delivery through reusable agent assets, shared services, and standardized platform capabilities.

Work model

At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance through our various well-being programs. Based on this role's business requirements, this is a Remote position in the United States .

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured, we will always be clear about role expectations.

What you need to have to be considered

20+ years of experience in software engineering and architecture .

7+ years of experience in cloud-native architecture and platform engineering .

5+ years of experience building AI/ML, Generative AI, or Agentic AI solutions .

Strong experience defining enterprise architecture, reusable frameworks, design patterns, and technical standards.

Experience leading enterprise-scale platform initiatives.

Experience establishing architecture, governance and implementation guardrails for complex technology initiat

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