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Associate Director - GenAI Solution Architect

Cognizant

Charlotte, NC · HybridFull-time$140–160K/yrSeen todaySeen in employer's feed today

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At a glance

Compensation
$140–160K/yr
Location
Charlotte, NCHybrid
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Associate Director - GenAI Solution Architect drives AI-first engineering strategy and designs scalable, cloud-native Generative AI solutions across enterprise programs. The role builds and deploys GenAI applications, defines engineering standards, and supports AI platforms and services. It collaborates with business and technology stakeholders to translate requirements into secure, scalable solutions. The position is hybrid in Charlotte, North Carolina or Parsippany, New Jersey.

Skills & qualifications

RequiredNice to have

Skills

Generative AI ArchitectureLLM ApplicationsAI AgentsPrompt EngineeringContext EngineeringGPT-4/4oClaudeGeminiLlamaAWSAmazon BedrockCloud-Native ArchitectureAPIsMicroservicesGitHub CopilotAI-Assisted DevelopmentCI/CDDevOpsSoftware EngineeringAI Platform EngineeringEnterprise Application IntegrationStakeholder LeadershipBusiness Requirements TranslationPalantirInsurance Domain KnowledgeAI-First Engineering LeadershipGenAI TransformationReusable AI PlatformsOrchestration FrameworksTechnical LeadershipCross-Functional Influence

Benefits

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

Full job description

GenAI Solution Architect

Location: Charlotte, NC or Parsippany, NJ

Employment Type: Full-Time

Remote - United States

Job ID: 00070873071

Associate Director - GenAI Solution Architect

About the role

As a GenAI Solution Architect , you will make an impact by driving AI-first engineering strategy and designing scalable Generative AI solutions across enterprise programs. You will work collaboratively with business, engineering, architecture, and technology teams to build cloud-native AI solutions leveraging LLMs, AI agents, orchestration frameworks, APIs, microservices, and modern DevOps practices .

In this role, you will:

  • Drive AI-first engineering strategy and lead the architecture and delivery of enterprise Generative AI solutions .

  • Design scalable, cloud-native architectures leveraging LLMs, AI agents, orchestration frameworks, APIs, and microservices .

  • Build and deploy GenAI-powered applications using GPT-4/4o, Claude, Gemini, Llama , and advanced prompt and context engineering techniques.

  • Leverage GitHub Copilot, Claude, and AI-assisted development tools to accelerate software delivery and improve developer productivity.

  • Define and promote engineering standards across CI/CD, DevOps, API integration, and cloud-native application development .

  • Design AI solutions leveraging AWS and Amazon Bedrock and support the development of scalable AI platforms and services.

  • Collaborate with business and technology stakeholders to translate complex requirements into secure, scalable, and maintainable AI solutions.

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 in Charlotte, NC or Parsippany, NJ . Regardless of your working arrangement, we are here to support a healthy work-life balance through 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

  • Strong experience designing and delivering Generative AI solution architectures , including LLM-powered applications and AI agents.

  • Hands-on experience with LLMs, AI agents, prompt engineering, and context engineering .

  • Experience developing GenAI solutions using technologies such as GPT-4/4o, Claude, Gemini, and Llama .

  • Strong experience with AWS, Amazon Bedrock, cloud-native architecture, APIs, and microservices .

  • Experience leveraging GitHub Copilot and AI-assisted development tools within enterprise software engineering environments.

  • Strong understanding of CI/CD, DevOps, and modern software engineering practices .

  • Experience with AI platform engineering and integrating AI capabilities into enterprise applications.

  • Strong stakeholder leadership and the ability to translate business requirements into scalable technical solutions.

These will help you stand out

  • Experience with Palantir .

  • Knowledge of the insurance domain and associated business processes.

  • Experience leading AI-first engineering or enterprise GenAI transformation initiatives.

  • Experience designing reusable AI platforms, orchestration frameworks, or agent-based solutions.

  • Ability to provide technical leadership and influence architecture and engineering decisions across cross-functional teams.

Salary and Other Compensation:

Applicants will be accepted till 12/03/2026

Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship.

Please note, this role is not able to offer visa transfer or sponsorship now or in the future

The annual salary for this position will be in the range of $140,000 - $160,000 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.

Our strength is built on our ability to work together. Our diverse backgrounds offer different perspectives and new ways of thinking. It encourages lively discussions, creativity, productivity, and helps us build better solutions for our clients. We want someone who thrives in this setting and is inspired to craft meaningful solutions through true collaboration.

If you are content with ambiguity, excited by change, and excel through autonomy, we’d love to hear from you!

Apply Now!

#LI-IK1

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 1,524 open AI Architect jobs on Olive Jobs, counted November 5, 2026.

Pay
  • This posting$140–160K/yr
  • North Carolina median$142–303K/yr40 salary ranges
  • US median$144–287K/yr1,345 salary ranges

This range's midpoint, $150K, is 28% below the North Carolina median midpoint ($210K) — in the lowest quarter of AI Architect salary ranges in North Carolina.

Openings
Olive Jobs lists 52 open AI Architect jobs in North Carolina and 1,524 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in North Carolina
Experience
AI Architect postings that state a minimum ask for 8 years of experience at the median; the middle half ask for 6 to 10 years (1,402 postings).
Education
724 of the 1,524 open AI Architect jobs (48%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 5, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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