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Solution Architect – Agentic AI
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.
We’re excited to meet people who share our mission and can make an impact in a variety of ways. Don’t hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
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
• 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
