Lead Developer

Cognizant · IT Consulting & Digital Transformation · IT Outsourcing & Dedicated Teams · Python · MATLAB · 3 hours ago
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Salary
≈ $15k – $33k per year (Estimated)
Location
Remote (India)
Seniority
Staff · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 28, 2026. First seen by Alion on Oct 28, 2026. Cognizant scores A on the Alion truth index.

Overview
Company
Impact
Profile match

Cognizant

Cognizant is an American information technology services and consulting company founded in 1994 as an in-house technology unit of Dun and Bradstreet in Chennai, India, and headquartered in Teaneck, New Jersey. It builds, integrates and operates software and infrastructure for large enterprises, with particularly deep positions in healthcare, financial services, insurance and life sciences, delivered by a global workforce of more than three hundred thousand people concentrated in India. Listed on Nasdaq, the company competes with the large Indian and global systems integrators and has reoriented its offerings around cloud migration, data platforms and AI-assisted engineering.
cognizant.com · HQ: Teaneck, United States · Cloud Consulting & Migration · Engineering Services · IT Outsourcing & Dedicated Teams · IT Consulting & Digital Transformation · Systems Integrators · 5000+ employees · Est. 1994
Tech stack of Cognizant
Backed by Peak XV Partners

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.

Strong 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.

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