2 days ago
Base Salary
$100k - $150k/yr
Responsibilities
- 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.
- Design solutions using large language models, agent orchestration frameworks, Retrieval-Augmented Generation, vector databases, prompt engineering, and context engineering.
- Develop cloud-based AI solutions using AWS Bedrock and modern cloud-native architecture patterns.
- Establish reusable AI engineering patterns and utilities aligned with enterprise software engineering and CI/CD practices.
- Evaluate and select LLMs, agent frameworks, and AI architecture patterns for enterprise use cases.
- Integrate Generative AI capabilities into enterprise platforms, applications, and engineering workflows.
- Collaborate with engineering, architecture, delivery, business, and client stakeholders on AI-first transformation initiatives.
Requirements
- 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 using leading LLMs such as GPT, Claude, Gemini, or Llama.
- Strong experience with Agentic AI, agent orchestration frameworks, Retrieval-Augmented Generation, vector databases, prompt engineering, and context engineering.
- Hands-on experience architecting and developing cloud-based AI solutions, including AWS Bedrock.
- Strong software engineering expertise and experience applying AI-assisted development and CI/CD practices to enterprise software delivery.
- Experience using GitHub Copilot, Claude Code, or similar AI-assisted development tools is preferred.
- Experience developing reusable Generative AI accelerators, frameworks, utilities, or developer tooling is preferred.
- Experience evaluating LLMs, agent frameworks, and AI architecture patterns and integrating Generative AI into enterprise environments is preferred.
- Experience contributing to or leading AI-first transformation initiatives is preferred.
Benefits
- Hybrid work arrangement requiring four days per week in a client or Cognizant office in Charlotte, North Carolina, subject to business and client requirements.
- Medical, dental, vision, and life insurance, subject to eligibility.
- Paid holidays and paid time off.
- 401(k) plan and contributions.
- Long-term and short-term disability coverage.
- Paid parental leave.
- Employee Stock Purchase Plan.
- Eligible for a discretionary annual incentive program based on performance and applicable plan terms.
Categories
Solutions Engineering
About Cognizant
Cognizant is a public IT services and consulting firm that designs, builds, and runs enterprise technology, including digital engineering, cloud modernization, data/AI, and managed services. It sells consulting, systems integration, and outsourcing on multi-year engagements to large enterprises in healthcare, banking, retail, communications, and manufacturing. Founded in 1994 and headquartered in Teaneck, New Jersey, Cognizant is NASDAQ-listed (CTSH) and a Fortune 500 company.