Cognizant is hiring candidates for the Python Gen AI Engineer role in Chennai. The position is part of the Technology & Engineering team and follows a hybrid work model. Candidates with strong Python programming skills and hands-on experience building production-grade software can apply for this opportunity.

The role focuses on developing generative AI and agentic AI solutions using technologies such as Python, LangChain, LangGraph, LLMs, RAG, embeddings, APIs, and microservices. Candidates will also work with modern software development practices, AI evaluation, observability, and governance.
Cognizant Hiring 2026
| DetailsInformation | Information |
|---|---|
| Company | Cognizant |
| Job Role | Python Gen AI Engineer |
| Qualification | Relevant Technical Qualification |
| Experience | Relevant Experience Required |
| Freshers Eligible | Not Specified |
| Salary | ₹5.36 – ₹7.80 LPA (Expected) |
| Job Type | Full-Time |
| Work Mode | Hybrid |
| Location | Chennai, Tamil Nadu |
| Job Category | Technology & Engineering |
| Date Published | 25 August 2026 |
| Job ID | 00069794036 |
Cognizant Python Gen AI Engineer Job Description
Cognizant is looking for a Python Gen AI Engineer with strong software engineering skills and practical experience building production-grade applications. The selected candidate will work on generative AI and agentic AI technologies and contribute to the development of scalable enterprise solutions.
The role requires strong proficiency in Python along with practical experience using agentic frameworks such as LangChain and LangGraph. Candidates should have a solid understanding of large language model fundamentals, including prompting, tool and function calling, retrieval-augmented generation, embeddings, context management, and memory systems.
The position also involves designing modular and platform-agnostic architectures, developing APIs and microservices, and building reusable frameworks or SDKs. Candidates should understand software development lifecycle practices and how AI agents can improve or automate these processes.
Roles and Responsibilities
- Develop production-grade software using Python.
- Build generative AI and agentic AI applications for enterprise use cases.
- Work with agentic frameworks such as LangChain, LangGraph, or similar technologies.
- Implement LLM capabilities including prompting, tool/function calling, RAG, embeddings, context management, and memory systems.
- Design modular and platform-agnostic architectures that are not dependent on a single LLM vendor or cloud provider.
- Develop APIs and microservices for scalable AI applications.
- Build extensible and reusable frameworks or SDKs.
- Follow software development lifecycle practices including CI/CD, version control, code review, and testing.
- Explore how AI agents can augment or automate software development processes.
- Implement evaluation and observability solutions for AI agents.
- Work with tools such as LangSmith, tracing frameworks, and custom evaluation harnesses.
- Apply AI governance practices including guardrails, access control, auditability, and human oversight.
- Collaborate with engineering and technology teams to deliver scalable AI solutions.
Qualifications & Skills
- Strong proficiency in Python, with hands-on experience building production-grade software rather than only notebooks or prototypes.
- Practical experience with agentic frameworks such as LangChain, LangGraph, or similar technologies.
- Solid understanding of LLM fundamentals, including prompting, tool/function calling, RAG, embeddings, context management, and memory systems.
- Experience designing modular and platform-agnostic architectures.
- Understanding of SDLC processes, including CI/CD, version control, code review, and testing.
- Understanding of how AI agents can augment or automate SDLC processes.
- Experience with API design and microservices.
- Experience building extensible and reusable frameworks or SDKs.
- Familiarity with agent evaluation and observability tooling such as LangSmith, tracing frameworks, and custom evaluation harnesses.
- Strong understanding of AI governance concepts, including guardrails, access control, auditability, and human oversight.
Work Environment
This is a Hybrid work opportunity based in Chennai, Tamil Nadu. The specific working arrangements may depend on Cognizant’s business requirements and the applicable team or project.
Applicants may be required to attend interviews either in person or through video conference. Candidates may also be required to present their current state or government-issued identification during interviews.
Salary Details
The expected salary for the Cognizant Python Gen AI Engineer role is approximately ₹5.36 LPA to ₹7.80 LPA.
This is an expected salary range based on available salary estimates and is not an officially disclosed compensation range from Cognizant. Actual compensation may vary depending on experience, skills, location, and applicable company policies.
How To Apply For Cognizant Python Gen AI Engineer
- Click on the Apply Here button provided below.
- Visit the official Cognizant careers page.
- Search for Python Gen AI Engineer or use Job ID 00069794036.
- Review the job requirements and eligibility criteria.
- Create an account or log in if required.
- Complete the application form with accurate information.
- Upload your updated resume and other required documents.
- Review all the details entered in the application.
- Submit your application through the official Cognizant careers portal.
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About Cognizant
Cognizant is an AI Builder and technology services provider that helps organizations connect AI investments with enterprise value by developing full-stack AI solutions for clients.
The company combines industry, process, and engineering expertise to build technology systems that incorporate an organization’s unique business context. These solutions are designed to amplify human potential, drive measurable outcomes, and help global enterprises stay competitive in a rapidly changing technology environment.
Cognizant provides technology and digital transformation services across industries, with a growing focus on artificial intelligence, enterprise technology, and AI-powered solutions.



