Senior Enterprise AI Architect - Agentic Solutions

Cognizant Technology Solutions Corporation; Lansing (MI); Remote; USD 116,000 - 180,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays + PTO

401(k) plan

Job summary

Cognizant Technology Solutions Corporation is seeking an experienced Solution Architect – Agentic AI to define and drive enterprise architecture for next-generation AI agent capabilities. You will shape reference architectures, platform standards, reusable frameworks, and governance models enabling scalable adoption across the SDLC and business domains.

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

Qualifications

• 20+ years of software engineering and architecture experience.
• 7+ years of cloud-native architecture and platform engineering experience.
• 5+ years of AI/ML, Generative AI, or Agentic AI solutions experience.
• 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 initiatives.
• Strong understanding of enterprise AI platforms, cloud-native architecture, and modern platform engineering concepts.

Responsibilities

• 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.

Skills

Software engineering

Enterprise architecture

Cloud-native architecture

Platform engineering

AI/ML

Tools

MCP

Job description

Cognizant Technology Solutions Corporation is seeking an experienced Solution Architect – Agentic AI to define and drive enterprise architecture for next-generation AI agent capabilities. You will shape reference architectures, platform standards, reusable frameworks, and governance models enabling scalable adoption across the SDLC and business domains.

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