Solution Architect – Agentic AI

Cognizant

Louisville (KY)

Remote

USD 116,000 - 180,000

Full time

1 hour ago

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Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays plus Paid Time Off

401(k) plan and contributions

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking an experienced Solution Architect – Agentic AI to define enterprise architectures for AI Agents, Agent Factory, and related platforms. You will establish standards, reusable frameworks, and governance to drive scalable adoption across development lifecycles and business domains.

You will lead strategy for Agentic AI deployment, govern technical reviews, and architect reusable agent capabilities to accelerate delivery through shared services and platform assets.

Qualifications

20+ years of experience in software engineering and architecture.
7+ years of cloud-native architecture and platform engineering.
5+ years of AI/ML, Generative AI, or Agentic AI solutions.
Experience defining enterprise architecture, reusable frameworks, design patterns, and standards.
Experience leading enterprise-scale platform initiatives.
Experience establishing architecture governance and guardrails for complex tech initiatives.
Strong understanding of enterprise AI platforms and modern platform engineering concepts.
Demonstrated success influencing senior technical and business leaders.

Responsibilities

Define enterprise reference architectures for AI Agents and related platforms.
Set architecture standards, design patterns, and reusable frameworks.
Lead technical strategy for Agentic AI adoption across lifecycles.
Drive architecture governance for enterprise AI initiatives.
Architect reusable agent capabilities including memory services and tool registries.
Define MCP integration patterns and agent-to-agent communication frameworks.
Accelerate delivery with shared services and standardized platform capabilities.

Skills

Software engineering

Software architecture

Cloud-native architecture

Platform engineering

AI/ML

Generative AI

Agentic AI

Enterprise architecture

Reusable frameworks

Design patterns

Technical standards

Governance

Stakeholder influence

Education

Bachelor’s degree in Computer Science or related

Tools

None

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 initiatives.
Strong understanding of enterprise AI platforms, cloud-native architecture, and modern platform engineering concepts.
Demonstrated success influencing and collaborating with senior technical and business leaders.

These will help you stand out

Experience with Agent Factory, Agent Runtime, AI Control Plane, or AgentOps platforms and concepts.
Hands-on knowledge of Model Context Protocol (MCP) and related integration patterns.
Experience designing memory services, context engineering, workflow orchestration, business rules engines, and tool registries.
Understanding of agent-to-agent communication and multi-agent architecture patterns.
Experience developing reusable AI agent components and shared platform services to accelerate enterprise adoption.

Salary And Other Compensation

The annual salary for this position is between $116,000 to $180,000 depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits