Job Summary

AI Engineer

Responsibilities

Design and implement AI GenAI 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 engineering toolchains such as MATLAB Simulink Polarion DOORS CANoe ECU-TEST Jira and Git.

Define scalable AI architecture governance and deployment strategy on Azure/AWS.

Collaborate with MBD V&V; Systems and Embedded Engineering teams to industrialize AI solutions.

5-10 years 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 DBs and Agentic AI architectures.

Robust understanding of 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 deployment of enterprise GenAI solutions in engineering environments.

📌 Lead Developer (Pune)
🏢 Cognizant
📍 Pune