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Gen AI Developer

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Onsite

Gen AI Developer

Cognizant

Gen AI Developer

Skills

MicroservicesAIAWSGitHub

1 month ago

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Important information


Contract type:

Permanent

Location:

Charlotte, NC, USA

Work mode:

Onsite

Published on:

22 September 2026

What they need


Job Title - Gen AI Developer

Location - hybrid @ Charlotte, NC or Jersey City, NJ

***No visa sponsorship/transfer/c2c available for this role**

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.

  • 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.

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