Cognizant Hiring: Looking to build your career in the rapidly growing field of Artificial Intelligence? Cognizant is hiring AI Customer Engineers for its Technology & Engineering team in Bangalore and Chennai. This is an exciting opportunity for professionals passionate about Generative AI, AI Agents, Python, Large Language Models (LLMs), and Cloud Technologies to work on enterprise-scale AI solutions.
As an AI Customer Engineer, you will develop intelligent AI applications, build scalable AI agents, integrate modern LLM technologies, and collaborate with global engineering teams to deliver production-grade AI solutions for enterprise customers.
Cognizant AI Customer Engineer – Job Details
| Company | Cognizant |
|---|---|
| Role | AI Customer Engineer |
| Location | Bangalore / Chennai, India |
| Category | Technology & Engineering |
| Work Model | Hybrid (Work From Office) |
| Job Type | Full-Time |
About Cognizant
Cognizant is one of the world’s leading professional services companies, helping organizations modernize technology, transform business processes, and embrace digital innovation. With expertise across AI, Cloud, Data, Digital Engineering, and Enterprise Technologies, Cognizant empowers businesses worldwide through cutting-edge technology solutions and continuous innovation.
Role Overview
As an AI Customer Engineer, you will design, develop, and deploy AI-powered applications using Generative AI technologies. You’ll work with AI agents, Retrieval-Augmented Generation (RAG), Python frameworks, cloud-native architectures, and modern AI development platforms to create scalable enterprise AI solutions.
What You’ll Do
- Build AI Agents and Generative AI applications.
- Design and implement RAG pipelines.
- Develop scalable backend APIs using Python.
- Integrate Large Language Models (LLMs).
- Work with cloud-native and containerized deployments.
- Collaborate with engineering and product teams.
- Build secure and production-ready AI applications.
- Optimize AI model performance and scalability.
What Are We Looking For?
- Experience building AI Agents using Google ADK, Copilot Studio, CrewAI, AutoGen, or similar tools.
- Strong knowledge of Prompt Engineering and AI Agent workflows.
- Experience with RAG pipelines and Vector Databases.
- Python programming expertise.
- Experience with LangChain, Hugging Face, OpenAI APIs, or local LLMs.
- REST API development using FastAPI.
- Knowledge of Docker, GitHub, and Microservices.
- Strong communication and collaboration skills.
Required Skills
- Python
- Generative AI
- AI Agents
- Large Language Models (LLMs)
- Prompt Engineering
- RAG Pipelines
- LangChain
- Hugging Face
- OpenAI API
- FastAPI
- REST APIs
- Docker
- GitHub
- Vector Databases
- Cloud Computing
- Microservices
Roles and Responsibilities
- Build and deploy AI Agents and GenAI-powered applications.
- Design and implement RAG architectures.
- Develop scalable backend services and APIs.
- Integrate LLMs with enterprise applications.
- Enable cloud-native deployments using Docker and Microservices.
- Collaborate with cross-functional engineering teams.
- Deliver secure, reliable, and production-grade AI solutions.
- Continuously improve AI system performance and scalability.
Eligibility Criteria
- Bachelor’s or Master’s degree in Computer Science, IT, AI, or a related field.
- Strong experience with Python and AI development.
- Experience with AI Agent frameworks and LLM integrations.
- Knowledge of Prompt Engineering and Vector Databases.
- Excellent analytical and communication skills.
Why Join Cognizant?
- Work on cutting-edge Artificial Intelligence projects.
- Build enterprise-scale Generative AI applications.
- Collaborate with experienced AI engineers and architects.
- Access continuous learning and certification programs.
- Work with the latest AI frameworks and cloud technologies.
- Excellent career growth and global project exposure.
Interview Experience
The Cognizant recruitment process generally includes resume screening followed by technical interviews focusing on Python, AI concepts, Prompt Engineering, Generative AI, APIs, cloud fundamentals, and problem-solving skills. HR discussions evaluate communication, collaboration, adaptability, and overall role fit.
Work Culture
Cognizant promotes a collaborative, innovation-driven, and learning-focused culture where employees work on next-generation technologies while receiving mentorship, continuous learning opportunities, and exposure to enterprise-scale AI projects.
Selection Process
- Round 1: Application & Resume Screening
- Round 2: Technical Assessment / Coding Round
- Round 3: Technical Interview
- Round 4: Managerial Interview
- Round 5: HR Interview
- Final Selection
Salary & Benefits
Cognizant offers a competitive salary package along with health insurance, employee wellness programs, learning platforms, AI certifications, paid leave, flexible benefits, and excellent long-term career growth opportunities.
How to Apply for Cognizant AI Customer Engineer
Interested candidates can apply online through the official Cognizant Careers portal. Before applying, update your resume with your AI projects, Python skills, internships, certifications, GitHub profile, cloud knowledge, and relevant technical experience. Early applications are recommended as hiring is conducted on a rolling basis.
Apply Now: Click Here