- Strong proficiency in Python, with hands-on experience building production-grade software (not just notebooks/prototypes).
- Practical experience with agentic frameworks such as LangChain, LangGraph, or similar.
- Solid understanding of LLM fundamentals — prompting, tool/function calling, RAG, embeddings, context management, memory systems.
- Experience designing modular, platform-agnostic architectures (i.e., not tightly coupled to a single LLM vendor or cloud provider).
- Understanding of SDLC processes (CI/CD, version control, code review, testing) and how AI agents can augment or automate them.
- Experience with API design, microservices, and building extensible/reusable frameworks or SDKs.
- Familiarity with agent evaluation and observability tooling (e.g., LangSmith, tracing frameworks, custom eval harnesses).
- Strong grasp of governance concepts for AI systems — guardrails, access control, auditability, human oversight.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
