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Gen AI Architect

Cognizant

Charlotte, NC · HybridJob$100–150K/yrSeen todaySeen in employer's feed today

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At a glance

Compensation
$100–150K/yr
Location
Charlotte, NCHybrid
Work Authorization
Not specified

Olive focuses on jobs in the United States, including remote roles you can work from there.

Job overview

The GenAI and Agentic AI Solutions Architect will architect, design, and develop enterprise-grade AI solutions that support AI-first transformation. The role collaborates with engineering, architecture, delivery, and business stakeholders to build scalable applications, copilots, intelligent agents, and reusable accelerators. It uses modern large language models, cloud-native technologies, and AI-assisted software engineering practices, with a hybrid schedule requiring four days per week in a Charlotte client or Cognizant office.

Skills & qualifications

RequiredNice to have

Skills

Software Engineering, requiredSolution Architecture, requiredCloud-Native Development, requiredGenerative AI, requiredLarge Language Models, requiredAgentic AI, requiredAgent Orchestration, requiredRetrieval-Augmented Generation, requiredVector Databases, requiredPrompt Engineering, requiredContext Engineering, requiredAWS Bedrock, requiredAI-Assisted Development, requiredCI/CD, requiredGitHub Copilot, nice to haveClaude Code, nice to haveGenAI Accelerators, nice to haveLLM Evaluation, nice to haveEnterprise Integration, nice to haveAI Transformation, nice to have

Qualifications

18+ Years Technology Experience, requiredProduction-Grade GenAI Experience, required

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Paid Time Off
401(k) Match
Parental Leave

Full 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: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

  • 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.

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

How this job compares

Set against the 8,449 open Solutions Architect jobs on Olive Jobs, counted November 14, 2026.

Pay
  • This posting$100–150K/yr
  • North Carolina median$124–261K/yr221 salary ranges
  • US median$138–248K/yr7,637 salary ranges

This range's midpoint, $125K, is 35% below the North Carolina median midpoint ($192K) — in the lowest quarter of Solutions Architect salary ranges in North Carolina.

Openings
Olive Jobs lists 244 open Solutions Architect jobs in North Carolina and 8,449 across the US. 11% of them nationwide are listed as remote or flexible.
Hiring the most in North Carolina
Experience
This posting asks for at least 18 years of experience — more than three in four Solutions Architect postings that state a minimum ask for (median 7 years, across 7,488 postings).
Education
2,858 of the 8,449 open Solutions Architect jobs (34%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 14, 2026. Figures based on too few postings are left out.

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