Gen AI Architect

Cognizant Technology Solutions Corporation; Charlotte (NC); Hybrid; USD 100,000 - 150,000; Full time

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 Technology Solutions Corporation is seeking a GenAI and Agentic AI Solutions Architect to lead the architecture, design, and hands-on development of enterprise Generative AI solutions that accelerate AI-first transformation.

You will collaborate with engineering, architecture, delivery, and business stakeholders to build scalable AI applications, copilots, agents, and accelerators using modern LLMs and cloud-native practices. Hybrid work is required in Charlotte, NC with 4 days onsite.

Qualifications

• Extensive experience designing and delivering enterprise GenAI and AI solutions.
• Hands-on software engineering and cloud-native architecture.
• Experience with LLMs, Retrieval-Augmented Generation (RAG), vector databases, and AI tooling.

Responsibilities

• Lead the architecture, design, and hands-on development of enterprise Generative AI and Agentic AI solutions.
• Architect scalable AI applications, copilots, intelligent agents, and reusable accelerators.
• Collaborate with engineering, architecture, delivery, and business stakeholders to deliver AI platforms.
• Apply cloud-native patterns, CI/CD practices, and enterprise AI standards.

Job description

About the role

As a GenAI and Agentic AI Solutions Architect you will make an impact by architecting, designing, and developing enterprise-grade Generative AI and Agentic AI solutions that accelerate AI-first transformation.

You will work collaboratively with engineering, architecture, delivery, and business stakeholders to build scalable AI applications, copilots, intelligent agents, and reusable accelerators using modern large language models, cloud-native technologies, and AI-assisted software engineering practices.

In this role, you will:

Lead the architecture, design, and hands-on development of enterprise Generative AI and Agentic AI solutions.
Architect and build scalable AI applications, copilots, intelligent agents, and reusable accelerators using modern large language models and agent orchestration frameworks.
Design solutions leveraging Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, and context engineering to address complex enterprise use cases.
Leverage AWS Bedrock, GitHub Copilot, Claude Code, and other AI-assisted engineering tools to accelerate software delivery and enhance developer productivity.
Establish reusable AI engineering patterns and utilities that support cloud-native architecture, CI/CD practices, and enterprise software engineering standards.

Work model

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 4 days a week in a client or Cognizant office in Charlotte, North Carolina. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.

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

18+ years of overall technology experience, with strong hands-on expertise in software engineering, solution architecture, and cloud-native application development.
Proven experience designing and building production-grade Generative AI solutions, including solutions using leading LLMs such as GPT, Claude, Gemini, or Llama.
Strong experience with Agentic AI, agent orchestration frameworks, Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, and context engineering.
Hands-on experience architecting and developing cloud-based AI solutions, including AWS Bedrock and modern cloud-native architecture patterns.
Strong software engineering expertise with demonstrated experience applying AI-assisted development and CI/CD practices to enterprise software delivery.

These will help you stand out

Hands-on experience using GitHub Copilot, Claude Code, or similar AI-assisted development tools to improve engineering productivity.
Experience developing reusable GenAI accelerators, frameworks, utilities, or developer tooling for enterprise environments.
Experience evaluating and selecting appropriate LLMs, agent frameworks, and AI architecture patterns based on enterprise use cases.
Experience integrating Generative AI capabilities into existing enterprise platforms, applications, and engineering workflows.
Experience contributing to or leading AI-first transformation initiatives across complex enterprise technology environments.

Applications will be accepted till November 30th, 2026.

Salary and Other Compensation:

The annual salary for this position is between $100,000 to $150,000 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

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.