GAI Expert Software Engineer Cognizant

Key Responsibilities

• Architect and implement generative AI solutions that generate source code, CI/CD pipelines, and full‑stack web applications from natural‑language prompts.
• Integrate large language model APIs and agentic AI frameworks into contact‑center platforms to automate ticket routing, response generation, and knowledge‑base updates.
• Collaborate with product managers, data scientists, and engineering peers to define requirements, design APIs, and ensure seamless deployment in cloud environments.
• Develop and maintain scalable microservices using Python, RESTful APIs, and container technologies (Docker/Kubernetes) on AWS.
• Establish best practices for prompt engineering, model fine‑tuning, and performance monitoring to continuously improve AI output quality.

• Strong proficiency in Python and experience building production‑grade services that consume LLM APIs (e.g., OpenAI, Anthropic, Cohere).
• Hands‑on experience with generative AI concepts, prompt engineering, and agentic workflows.
• Solid understanding of cloud platforms, preferably AWS, including services for compute, storage, and CI/CD pipelines.
• Familiarity with containerization (Docker) and orchestration (Kubernetes) for deploying AI‑driven microservices.
• Ability to work cross‑functionally, translate business needs into technical solutions, and communicate complex AI concepts to non‑technical stakeholders.