Role Summary
We are looking for an AI/ML Engineer to design, build, and deploy AI-powered solutions across RAG, agentic AI, and machine learning use cases. The role spans experimentation, backend development, cloud deployment, evaluation, and production support.
Key Responsibilities
- Design and develop RAG and agentic AI solutions from prototype to production
- Build AI workflows using Python, LangGraph, LangChain, or similar frameworks
- Develop backend services and APIs with FastAPI and REST APIs
- Create retrieval pipelines including ingestion, embeddings, indexing, retrieval, and evaluation
- Support knowledge graph and GraphRAG use cases
- Build and maintain AI/data pipelines in Databricks
- Deploy, monitor, and optimize AI applications on Microsoft Azure
Collaborate with cross-functional teams to deliver production-ready AI solutions
Required Skills
- Several years of experience in AI, ML, software, or data engineering
- Strong proficiency in Python and backend/API development
- Hands-on experience with RAG, LLM applications, or agentic AI
- Experience with FastAPI, REST APIs, Docker, Git, CI/CD, and Azure DevOps
- Knowledge of Microsoft Azure and cloud-based deployments
- Familiarity with Databricks, SQL, and ML/data engineering workflows
- Understanding of security, authentication, logging, and monitoring
- Strong communication and problem-solving skills
Nice to Have
- Experience with GraphRAG, knowledge graphs, graph databases, or ontologies
- Experience with Azure AI Services, LangGraph, LangChain, or MCP
- Background in enterprise AI solutions and production-scale deployments
Education
- Master's degree in Computer Science, Engineering, Data Science, AI/ML, Statistics, or a related field.
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.
