GenAI Solutions Architect

Cognizant; Charlotte (NC); Hybrid; USD 119,000 - 139,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

401(k) plan

Parental Leave

Employee Stock Purchase Plan

Paid holidays & PTO

Disability insurance

Job summary

Cognizant is seeking a GenAI Solutions Architect to lead enterprise Generative AI initiatives with cloud-native architectures and AI-powered applications. The role collaborates with product, architecture, and engineering teams to define roadmaps, leverage LLMs and AI agents, and drive measurable business outcomes.

You will mentor engineering teams, influence technology strategy, and deliver scalable AI solutions using AWS, Bedrock, and modern cloud services in a hybrid remote/work model.

Qualifications

• Proven experience designing and delivering Generative AI solutions in enterprise environments.
• Strong expertise in LLMs, AI Agents, Prompt Engineering, and Context Engineering.
• Experience building cloud-native applications using AWS, including AI and platform services.
• Experience with AI-assisted development tools such as GitHub Copilot, Claude, or similar technologies.
• Strong understanding of APIs, microservices, distributed systems, and modern software architecture patterns.
• Experience with DevOps, CI/CD pipelines, and engineering automation practices.
• Strong stakeholder management, communication, and leadership skills.
• Experience leading architecture discussions and influencing enterprise technology strategy.

Responsibilities

• Lead the architecture, design, and implementation of enterprise Generative AI solutions across business and technology programs.
• Design scalable, cloud-native architectures leveraging LLMs, AI agents, APIs, orchestration frameworks, and microservices.
• Build and deploy AI-powered applications using technologies such as GPT, Claude, Gemini, Llama, and advanced Prompt and Context Engineering techniques.
• Drive AI-assisted software engineering practices using tools such as GitHub Copilot and other AI development solutions to improve engineering productivity and accelerate delivery.
• Architect and implement solutions leveraging AWS, Amazon Bedrock, and modern cloud technologies.
• Establish best practices for AI platform engineering, responsible AI adoption, DevOps, and CI/CD automation.
• Collaborate with stakeholders to define AI strategies, solution roadmaps, and implementation approaches.
• Provide technical leadership and mentor engineering teams on AI architecture, platform engineering, and cloud-native development.

Skills

Generative AI

LLMs

AI Agents

Prompt Engineering

Context Engineering

AWS

GitHub Copilot

APIs & Microservices

DevOps & CI/CD

Stakeholder leadership

Tools

Claude

Bedrock

Palantir

Job description

GenAI Solutions Architect

Location: Remote
Employment Type: Full-Time

Job ID: 00070021851

As a GenAI Solutions Architect, you will make an impact by leading AI-first engineering initiatives and designing enterprise-scale Generative AI solutions that accelerate innovation and business transformation. You will be a valued member of our AI & Digital Engineering team and work collaboratively with business leaders, product teams, architects, and engineering organizations to deliver scalable, cloud-native AI solutions that drive measurable business outcomes.

In this role, you will:

• Lead the architecture, design, and implementation of enterprise Generative AI solutions across business and technology programs.
• Design scalable, cloud-native architectures leveraging Large Language Models (LLMs), AI agents, APIs, orchestration frameworks, and microservices.
• Build and deploy AI-powered applications using technologies such as GPT, Claude, Gemini, Llama, and advanced Prompt and Context Engineering techniques.
• Drive AI-assisted software engineering practices using tools such as GitHub Copilot and other AI development solutions to improve engineering productivity and accelerate delivery.
• Architect and implement solutions leveraging AWS, Amazon Bedrock, and modern cloud technologies.
• Establish best practices for AI platform engineering, responsible AI adoption, DevOps, and CI/CD automation.
• Collaborate with stakeholders to define AI strategies, solution roadmaps, and implementation approaches.
• Provide technical leadership and mentor engineering teams on AI architecture, platform engineering, and cloud-native development.

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 3 days per week onsite at a client location in Charlotte, North Carolina, or Jersey City, NJ with the remaining days worked remotely.

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

• Proven experience designing and delivering Generative AI solutions in enterprise environments.
• Strong expertise in LLMs, AI Agents, Prompt Engineering, and Context Engineering.
• Experience building cloud-native applications using AWS, including AI and platform services.
• Experience with AI-assisted development tools such as GitHub Copilot, Claude, or similar technologies.
• Strong understanding of APIs, microservices, distributed systems, and modern software architecture patterns.
• Experience with DevOps, CI/CD pipelines, and engineering automation practices.
• Strong stakeholder management, communication, and leadership skills.
• Experience leading architecture discussions and influencing enterprise technology strategy.

These will help you stand out

• Experience with Amazon Bedrock, AI platform engineering, and agentic AI frameworks.
• Knowledge of Palantir or similar enterprise AI and data platforms.
• Experience implementing AI governance and responsible AI practices.
• Insurance industry experience.
• Experience leading enterprise AI transformation initiatives.
• Experience mentoring architects and engineering teams on AI adoption and best practices.

Salary and Other Compensation:

Applicants will be accepted till 9/03/2026

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 $119,000 - $139,000 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!