Gen AI Developer
Salary not listed
Cognizant · Charlotte, NC · Hybrid · Full-time
Build · Found · posted 8 days ago
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Experience asked for: not stated
This posting never puts a number on it, or names several that contradict each other. Read the requirements below before you rule yourself out — we would rather say nothing than guess at it.
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.