Cognizant Off Campus Drive 2026 | AI/ML (Generative AI) Engineer | Chennai
🏢 Company: Cognizant | 📍 Location: Chennai, Tamil Nadu | 💼 Role: AI/ML Engineer (GenAI) | 🎓 3-6 Years Experience
🚀 Cognizant is aggressively hiring talented Python Generative AI Engineers to join their high-caliber AI Products team in Chennai. Take end-to-end ownership of cutting-edge models—from prototyping LLMs to building scalable, secure RAG pipelines that power real customer-facing products. Check eligibility and apply now.
Cognizant's Hybrid work model allows you to innovate collaboratively in Chennai. If you have hands-on expertise in Python, Hugging Face Transformers, and vector databases, this is your next big move in the AI revolution.
Are you a seasoned Python developer looking to lead the charge in Artificial Intelligence? Cognizant is searching for high-caliber AI/ML Engineers to design and implement production-grade Generative AI features using Large Language Models (LLMs), embedding models, and multimodal architectures. You will integrate GenAI capabilities into existing products, including chatbots, co-pilots, and content generation tools.
- Organization: Cognizant (Technology & Engineering)
- Role: AI/ML (Generative AI) Engineer
- Requisition ID: 00066565801
- Location: Chennai, Tamil Nadu, India
- Experience Level: Experienced (3-6 Years relevant experience)
- Work Model: Hybrid
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Cognizant AI/ML Engineer Eligibility 2026
This drive is aimed at experienced AI professionals. You are expected to code independently using Python, confidently build orchestration layers, and optimize open-source LLMs from day one.
| Category | Details |
|---|---|
| Company | Cognizant |
| Job Role | AI/ML Engineer (Generative AI Focus) |
| Degree Eligibility | Bachelor’s Degree in IT, Computer Science, AI, or equivalent |
| Mandatory Experience | 3 to 6 Years of hands-on experience in Python and GenAI solutions |
| Work Location | Chennai, Tamil Nadu |
| Work Model | Hybrid (Applicants may be required to attend interviews by video or in-person) |
💰 Experienced AI/ML Roles Salary Comparison
With 3-6 years of highly sought-after expertise in LLMs, RAG pipelines, and Python backend orchestration, candidates command premium compensation packages and leadership opportunities within top IT service firms.
| Company / Profile | Typical Role | Estimated Salary (CTC) | Primary Focus / Keywords |
|---|---|---|---|
| Cognizant (Exp. Hiring) | GenAI Engineer | ₹12.0 LPA - ₹20.0 LPA+ | Python, LLMs, RAG, FastAPI |
| AccioJob Mega Drive | Implementation Engineer | ₹12.0 LPA - ₹16.0 LPA | Configuration, Support, Client Tech |
| SAP / Enterprise Giant | T1 Python Developer | ₹12.0 LPA - ₹18.0 LPA | Python, SAP BTP, DevOps, CI/CD |
| GlobalLogic | Associate Analyst | ₹2.5 LPA - ₹4.0 LPA | Data Annotation, Remote, Freshers |
🎯 Key Responsibilities & Expected Tech Stack
This role demands a robust mix of Python software engineering and cutting-edge artificial intelligence model integration.
| Skill Category | Specific Knowledge / Tasks | Expected Proficiency |
|---|---|---|
| Generative AI & LLMs | Llama, Mistral, Claude, GPT series, Stable Diffusion. Prompt engineering and tool-calling workflows. | Expert |
| RAG & Databases | Building Retrieval-Augmented Generation pipelines using Pinecone, Weaviate, Qdrant, Chroma, or PGVector. | High |
| Backend Development | Developing robust backend services and orchestration layers using Python (FastAPI, Flask, Django). | High |
| Model Fine-Tuning | Aligning open-source LLMs (LoRA, QLoRA, DPO) using Hugging Face Transformers, PEFT, TRL, Unsloth, Axolotl. | Intermediate - High |
| Product Integration | Integrating AI into chatbots, co-pilots, code assistants, and multimodal generation tools. | High |
🚀 Interview Process for AI/ML Engineers
Because this is a highly specialized role, Cognizant’s interview process focuses heavily on system architecture, Python coding efficiency, and practical application of machine learning concepts.
- Step 1: Technical Screening: A detailed discussion covering your past AI projects, specifically diving into vector databases and LLM implementations you've built.
- Step 2: Coding & Architecture Round: You will be asked to write Python code (FastAPI/Flask) to handle an AI agent workflow or optimize a RAG pipeline query.
- Step 3: Machine Learning Deep Dive: Questions surrounding model fine-tuning techniques (LoRA vs full fine-tuning), overcoming token limits, and prompt engineering strategies.
- Step 4: Managerial / Team Fit: Assessing your ability to collaborate in a high-caliber team environment, take end-to-end ownership, and align with Cognizant’s innovative culture.
💡 Skills to Highlight in Your Interview
Prepare to showcase your end-to-end AI integration capabilities:
- RAG Optimization: Be ready to explain how you improve retrieval accuracy and reduce hallucination in RAG pipelines using specific vector database configurations.
- Python Backend Performance: Provide concrete examples of how you've scaled Python APIs (FastAPI) to handle high-latency LLM responses asynchronously.
- Fine-Tuning Trade-offs: Discuss the pros and cons of using PEFT/LoRA versus few-shot prompting for a specific business use case.
- Productionizing AI: Highlight your experience moving cutting-edge prototypes into secure, observable, and scalable services.
📝 ATS Resume Guide (Cognizant AI Edition)
Optimize your resume to pass the initial screening for Senior and Mid-Level AI roles:
- Generative AI & LLMs (GPT, Llama)
- Retrieval-Augmented Generation (RAG)
- Python (FastAPI, Flask, Django)
- Vector Databases (Pinecone, Qdrant)
- Model Fine-Tuning (LoRA, Hugging Face)
- Scalable AI Services
- Cognizant Generative AI Engineer Salary
- Machine Learning Jobs Chennai
- Python Developer IT Jobs 4 Years Experience
- LLM RAG Pipeline Consultant Jobs
- Cognizant Hybrid AI Opportunities
Official Application Link
🔥 Important Note: AI/ML roles at major firms like Cognizant close rapidly due to massive demand in the Generative AI sector. Ensure your resume highlights the exact 3-6 years of Python and GenAI stack experience requested.
- The application is managed via the official Cognizant Careers portal.
- Ensure you have your updated resume ready, emphasizing Python backend frameworks, RAG pipelines, and vector DB integrations.
- Click the application link below to navigate to the specific job requisition (Job ID: 00066565801).
- Fill out all details accurately and prepare to present your government-issued ID during video/in-person interviews.
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Disclaimer
This post is for educational and informational purposes only to help candidates prepare. We are an independent job notification portal and are not affiliated directly with Cognizant. Always verify job details, compensation, and locations directly on the official Cognizant careers portal before applying.
Frequently Asked Questions (FAQs)
What is the role of an AI/ML Engineer at Cognizant?
The AI/ML Engineer will design, develop, and productionize Generative AI solutions using Python. Responsibilities include building RAG pipelines, fine-tuning LLMs, and developing backend orchestration layers for AI agents.
What are the core skills required for this Cognizant AI/ML job?
Candidates must have 3 to 6 years of hands-on experience in Python, Large Language Models (LLMs), RAG pipelines, vector databases (Pinecone, Qdrant), and backend frameworks like FastAPI or Flask.
Where is this Cognizant role located?
This role follows a Hybrid work model and is located in Chennai, Tamil Nadu, India.
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