AI Engineer

Cognizant; Gurugram District; Hybrid; INR 3,000,000 - 5,000,000; Full time

Job summary

Cognizant in India is seeking a Senior AI Engineer to design, build and operate production-grade AI/ML solutions across generative AI, RAG, agentic AI and data pipelines. You will work with LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI or LlamaIndex and deploy workloads on cloud platforms with MLOps/CI/CD.

The role is hybrid with three days in a Cognizant office in Chennai, Bengaluru, Hyderabad, NCR, Pune, Kolkata or another Indian location, offering a balanced work-life approach.

Qualifications

• 4+ years hands-on experience delivering production-grade AI/ML solutions.
• Expertise in generative AI, RAG, agentic AI, ML, data science and data engineering.
• Experience building AI APIs and microservices integrated with enterprise data.
• Deploying AI workloads on AWS/Azure/Google Cloud with MLOps/CI/CD practices.
• Background from a premium engineering college.

Responsibilities

• Design, build, deploy and support production-grade AI/ML solutions across full lifecycle.
• Design RAG and GraphRAG architectures and retrieval patterns.
• Develop agentic AI solutions with LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI or LlamaIndex.
• Develop scalable data pipelines across relational, NoSQL, analytical, search, vector and graph data.
• Deploy AI workloads on cloud with MLOps and CI/CD, monitoring and optimization.

Skills

AI/ML engineering

MLOps

Cloud AI services

Python

Education

Bachelor's degree in Engineering

Tools

LangGraph

LangChain

Semantic Kernel

AutoGen

CrewAI

LlamaIndex

Job description

About Cognizant Consulting

Cognizant Consulting is more than Cognizant's consulting practice, we're a global community of 5,000+ experts dedicated to helping clients reimagine their business. Blending our deep industry and technology advisory capability, we create innovative business solutions for Fortune 500 clients. And now, we're looking for our next colleague who'll join us in shaping the future of business. Could it be you?

About the role

As a Senior AI Engineer, you will make an impact by designing, building and operating production-grade AI and machine learning solutions across generative AI, RAG, agentic AI, data science, data engineering and cloud-native application development. You will be a valued member of the Tech Consulting Group team and work collaboratively with client and business stakeholders, and clients.

In this role, you will

• Design, develop, deploy and support production-grade AI and machine learning solutions across the complete engineering lifecycle, including requirements analysis, design, development, testing, deployment, monitoring and continuous improvement.
• Design and implement production-grade RAG and GraphRAG architectures, selecting vector, hybrid or knowledge graph-based retrieval patterns based on data, use-case, scalability and response-quality requirements.
• Design and develop agentic AI solutions using patterns such as single-agent, multi-agent, supervisor-worker, human-in-the-loop and event-driven architectures, implemented with frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI or LlamaIndex.
• Develop and evaluate machine learning and deep learning models, including NLP use cases, and build scalable data pipelines across relational, NoSQL, analytical, search, vector and graph data platforms.
• Deploy and operate AI workloads on AWS, Microsoft Azure or Google Cloud using established MLOps, LLMOps and CI/CD practices, and monitor, troubleshoot and optimize solutions for quality, performance, scalability, security, governance and cost.

Work model

At Cognizant, we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring three days a week in a client or Cognizant office in Chennai, Bengaluru, Hyderabad, NCR, Pune, Kolkata or another Cognizant office location in India. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What you must have to be considered

• At least four years of hands-on experience delivering production-grade AI and machine learning solutions.
• Practical expertise in generative AI, RAG, agentic AI, machine learning, data science and data engineering.
• Experience building AI-enabled APIs, microservices and application components and integrating AI capabilities with enterprise data and applications.
• Hands-on experience deploying and operating AI workloads on AWS, Microsoft Azure or Google Cloud using software engineering, MLOps, LLMOps and CI/CD practices.
• A background from a premium engineering college.

These will help you succeed

• Experience designing GraphRAG and knowledge graph-based retrieval architectures.
• Familiarity with agentic frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI or LlamaIndex.
• Experience developing AI-driven workflow automation by integrating agents with enterprise applications, APIs, tools, business rules and approval processes.
• Strong stakeholder engagement skills, including presenting architectural trade-offs and driving consensus on technical direction.
• Ability to produce maintainable code and technical documentation and contribute to engineering reviews and production readiness.