1 day ago
Pune, IndiaSenior / Staff+
Responsibilities
- Design and implement generative AI solutions for automotive engineering use cases.
- Develop agentic workflows using LLMs, RAG, vector databases, and AI orchestration frameworks.
- Automate requirements analysis, test case generation, test script generation, log analysis, and traceability.
- Integrate AI solutions with MATLAB, Simulink, Polarion, DOORS, CANoe, ECU-TEST, Jira, and Git.
- Define scalable AI architecture, governance, and deployment strategies on Azure and AWS.
- Collaborate with MBD, V&V, systems, and embedded engineering teams to industrialize AI solutions.
Requirements
- 5–10 years of experience in automotive software, MBD, V&V, or systems engineering.
- Hands-on experience with Python and AI/ML frameworks.
- Experience with LLMs, RAG, LangChain, LlamaIndex, vector databases, and agentic AI architectures.
- Strong understanding of the automotive V-Cycle, ASPICE, and ISO 26262.
- Experience with MATLAB/Simulink, CANoe, ECU-TEST, DOORS/Polarion, or similar automotive tools.
- Knowledge of Azure OpenAI, AWS Bedrock, or equivalent AI platforms.
- Exposure to deploying enterprise GenAI solutions in engineering environments.
Categories
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.