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Generative AI Engineer

Cognizant

Software and Technology Jobs

Generative AI Engineer

full-timePosted: Dec 7, 2025

Job Description

About the role

As a Generative AI Engineer, you will make an impact by designing, deploying, and optimizing AI-driven solutions that leverage Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems. You will be a valued member of the AI & Data Engineering team and work collaboratively with product managers, data scientists, and cloud engineers to deliver cutting-edge solutions.


In this role, you will:

  • Deploy and maintain knowledge ingestion pipelines and integrate them into API-based services.
  • Fine-tune and deploy LLMs for enterprise-scale applications.
  • Implement data cleansing, NLP techniques, and optimization strategies for RAG systems.
  • Design and build solutions in cloud environments such as Azure, AWS, or GCP.
  • Ensure quality through DevOps pipelines, automated testing, and CI/CD practices.

Work model

We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days per week in a Cognizant or client office in Hartford, CT. Regardless of your working arrangement, we support a healthy work-life balance through our wellbeing programs.


What you need to have to be considered

  • 5+ years of experience programming with Python.
  • 1+ years of experience with Git and version control.
  • 1+ years of experience with public cloud platforms (Azure, AWS, or GCP).
  • Hands-on experience with LangChain and building RAG systems.
  • Experience with vector databases such as MongoDB Atlas or Pinecone.
  • 2+ years of NLP experience using tools like NLTK, SpaCy, and BeautifulSoup.
  • Familiarity with LLM concepts such as agents, memory, routing, and content moderation.
  • Strong debugging and code refactoring skills.

These will help you stand out

  • Experience deploying LLM-based RAG systems at scale (10,000+ documents).
  • Knowledge of Kubernetes and microservices architecture.
  • Experience with DevOps tools such as GitHub Actions or similar CI/CD platforms.
  • Portfolio of LLM applications and sample projects.
  • Understanding of advanced GenAI trends, frameworks, and best practices.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.


*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*

Salary and Other Compensation:

Applications will be accepted until December 21, 2025

The annual salary for this position is between $ 130,000 - $ 150,000 depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

#LI-KV1 #CB #Ind123

The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

  • Cognizant is a global community with more than 300,000 associates around the world.
  • We don’t just dream of a better way – we make it happen.
  • We take care of our people, clients, company, communities and climate by doing what’s right.
  • We foster an innovative environment where you can build the career path that’s right for you.

About us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com with your request and contact information.

Disclaimer:
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

About the Role/Company

  • Cognizant is a global community with more than 300,000 associates around the world
  • We don’t just dream of a better way – we make it happen
  • We take care of our people, clients, company, communities and climate by doing what’s right
  • We foster an innovative environment where you can build the career path that’s right for you

Key Responsibilities

  • Deploy and maintain knowledge ingestion pipelines and integrate them into API-based services
  • Fine-tune and deploy LLMs for enterprise-scale applications
  • Implement data cleansing, NLP techniques, and optimization strategies for RAG systems
  • Design and build solutions in cloud environments such as Azure, AWS, or GCP
  • Ensure quality through DevOps pipelines, automated testing, and CI/CD practices

Required Qualifications

  • + years of experience programming with Python
  • + years of experience with Git and version control
  • + years of experience with public cloud platforms (Azure, AWS, or GCP)
  • Hands-on experience with LangChain and building RAG systems
  • Experience with vector databases such as MongoDB Atlas or Pinecone
  • + years of NLP experience using tools like NLTK, SpaCy, and BeautifulSoup
  • Familiarity with LLM concepts such as agents, memory, routing, and content moderation
  • Strong debugging and code refactoring skills

Preferred Qualifications

  • Experience deploying LLM-based RAG systems at scale (10,000+ documents)
  • Knowledge of Kubernetes and microservices architecture
  • Experience with DevOps tools such as GitHub Actions or similar CI/CD platforms
  • Portfolio of LLM applications and sample projects
  • Understanding of advanced GenAI trends, frameworks, and best practices

Skills Required

  • Python
  • Git
  • Version control
  • Public cloud platforms (Azure, AWS, or GCP)
  • LangChain
  • RAG systems
  • Vector databases (MongoDB Atlas or Pinecone)
  • NLP (NLTK, SpaCy, BeautifulSoup)
  • LLM concepts (agents, memory, routing, content moderation)
  • Debugging
  • Code refactoring

Benefits & Perks

  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 01(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Additional Requirements

  • Hybrid position requiring 3 days per week in a Cognizant or client office in Hartford, CT
  • No visa transfer or sponsorship available

Locations

  • India

Salary

130,000 - 150,000 USD / yearly

Skills Required

  • Pythonintermediate
  • Gitintermediate
  • Version controlintermediate
  • Public cloud platforms (Azure, AWS, or GCP)intermediate
  • LangChainintermediate
  • RAG systemsintermediate
  • Vector databases (MongoDB Atlas or Pinecone)intermediate
  • NLP (NLTK, SpaCy, BeautifulSoup)intermediate
  • LLM concepts (agents, memory, routing, content moderation)intermediate
  • Debuggingintermediate
  • Code refactoringintermediate

Required Qualifications

  • + years of experience programming with Python (experience)
  • + years of experience with Git and version control (experience)
  • + years of experience with public cloud platforms (Azure, AWS, or GCP) (experience)
  • Hands-on experience with LangChain and building RAG systems (experience)
  • Experience with vector databases such as MongoDB Atlas or Pinecone (experience)
  • + years of NLP experience using tools like NLTK, SpaCy, and BeautifulSoup (experience)
  • Familiarity with LLM concepts such as agents, memory, routing, and content moderation (experience)
  • Strong debugging and code refactoring skills (experience)

Preferred Qualifications

  • Experience deploying LLM-based RAG systems at scale (10,000+ documents) (experience)
  • Knowledge of Kubernetes and microservices architecture (experience)
  • Experience with DevOps tools such as GitHub Actions or similar CI/CD platforms (experience)
  • Portfolio of LLM applications and sample projects (experience)
  • Understanding of advanced GenAI trends, frameworks, and best practices (experience)

Responsibilities

  • Deploy and maintain knowledge ingestion pipelines and integrate them into API-based services
  • Fine-tune and deploy LLMs for enterprise-scale applications
  • Implement data cleansing, NLP techniques, and optimization strategies for RAG systems
  • Design and build solutions in cloud environments such as Azure, AWS, or GCP
  • Ensure quality through DevOps pipelines, automated testing, and CI/CD practices

Benefits

  • general: Medical/Dental/Vision/Life Insurance
  • general: Paid holidays plus Paid Time Off
  • general: 01(k) plan and contributions
  • general: Long-term/Short-term Disability
  • general: Paid Parental Leave
  • general: Employee Stock Purchase Plan

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Cognizant logo

Generative AI Engineer

Cognizant

Software and Technology Jobs

Generative AI Engineer

full-timePosted: Dec 7, 2025

Job Description

About the role

As a Generative AI Engineer, you will make an impact by designing, deploying, and optimizing AI-driven solutions that leverage Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems. You will be a valued member of the AI & Data Engineering team and work collaboratively with product managers, data scientists, and cloud engineers to deliver cutting-edge solutions.


In this role, you will:

  • Deploy and maintain knowledge ingestion pipelines and integrate them into API-based services.
  • Fine-tune and deploy LLMs for enterprise-scale applications.
  • Implement data cleansing, NLP techniques, and optimization strategies for RAG systems.
  • Design and build solutions in cloud environments such as Azure, AWS, or GCP.
  • Ensure quality through DevOps pipelines, automated testing, and CI/CD practices.

Work model

We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days per week in a Cognizant or client office in Hartford, CT. Regardless of your working arrangement, we support a healthy work-life balance through our wellbeing programs.


What you need to have to be considered

  • 5+ years of experience programming with Python.
  • 1+ years of experience with Git and version control.
  • 1+ years of experience with public cloud platforms (Azure, AWS, or GCP).
  • Hands-on experience with LangChain and building RAG systems.
  • Experience with vector databases such as MongoDB Atlas or Pinecone.
  • 2+ years of NLP experience using tools like NLTK, SpaCy, and BeautifulSoup.
  • Familiarity with LLM concepts such as agents, memory, routing, and content moderation.
  • Strong debugging and code refactoring skills.

These will help you stand out

  • Experience deploying LLM-based RAG systems at scale (10,000+ documents).
  • Knowledge of Kubernetes and microservices architecture.
  • Experience with DevOps tools such as GitHub Actions or similar CI/CD platforms.
  • Portfolio of LLM applications and sample projects.
  • Understanding of advanced GenAI trends, frameworks, and best practices.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.


*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*

Salary and Other Compensation:

Applications will be accepted until December 21, 2025

The annual salary for this position is between $ 130,000 - $ 150,000 depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

#LI-KV1 #CB #Ind123

The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

  • Cognizant is a global community with more than 300,000 associates around the world.
  • We don’t just dream of a better way – we make it happen.
  • We take care of our people, clients, company, communities and climate by doing what’s right.
  • We foster an innovative environment where you can build the career path that’s right for you.

About us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com with your request and contact information.

Disclaimer:
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

About the Role/Company

  • Cognizant is a global community with more than 300,000 associates around the world
  • We don’t just dream of a better way – we make it happen
  • We take care of our people, clients, company, communities and climate by doing what’s right
  • We foster an innovative environment where you can build the career path that’s right for you

Key Responsibilities

  • Deploy and maintain knowledge ingestion pipelines and integrate them into API-based services
  • Fine-tune and deploy LLMs for enterprise-scale applications
  • Implement data cleansing, NLP techniques, and optimization strategies for RAG systems
  • Design and build solutions in cloud environments such as Azure, AWS, or GCP
  • Ensure quality through DevOps pipelines, automated testing, and CI/CD practices

Required Qualifications

  • + years of experience programming with Python
  • + years of experience with Git and version control
  • + years of experience with public cloud platforms (Azure, AWS, or GCP)
  • Hands-on experience with LangChain and building RAG systems
  • Experience with vector databases such as MongoDB Atlas or Pinecone
  • + years of NLP experience using tools like NLTK, SpaCy, and BeautifulSoup
  • Familiarity with LLM concepts such as agents, memory, routing, and content moderation
  • Strong debugging and code refactoring skills

Preferred Qualifications

  • Experience deploying LLM-based RAG systems at scale (10,000+ documents)
  • Knowledge of Kubernetes and microservices architecture
  • Experience with DevOps tools such as GitHub Actions or similar CI/CD platforms
  • Portfolio of LLM applications and sample projects
  • Understanding of advanced GenAI trends, frameworks, and best practices

Skills Required

  • Python
  • Git
  • Version control
  • Public cloud platforms (Azure, AWS, or GCP)
  • LangChain
  • RAG systems
  • Vector databases (MongoDB Atlas or Pinecone)
  • NLP (NLTK, SpaCy, BeautifulSoup)
  • LLM concepts (agents, memory, routing, content moderation)
  • Debugging
  • Code refactoring

Benefits & Perks

  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 01(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Additional Requirements

  • Hybrid position requiring 3 days per week in a Cognizant or client office in Hartford, CT
  • No visa transfer or sponsorship available

Locations

  • India

Salary

130,000 - 150,000 USD / yearly

Skills Required

  • Pythonintermediate
  • Gitintermediate
  • Version controlintermediate
  • Public cloud platforms (Azure, AWS, or GCP)intermediate
  • LangChainintermediate
  • RAG systemsintermediate
  • Vector databases (MongoDB Atlas or Pinecone)intermediate
  • NLP (NLTK, SpaCy, BeautifulSoup)intermediate
  • LLM concepts (agents, memory, routing, content moderation)intermediate
  • Debuggingintermediate
  • Code refactoringintermediate

Required Qualifications

  • + years of experience programming with Python (experience)
  • + years of experience with Git and version control (experience)
  • + years of experience with public cloud platforms (Azure, AWS, or GCP) (experience)
  • Hands-on experience with LangChain and building RAG systems (experience)
  • Experience with vector databases such as MongoDB Atlas or Pinecone (experience)
  • + years of NLP experience using tools like NLTK, SpaCy, and BeautifulSoup (experience)
  • Familiarity with LLM concepts such as agents, memory, routing, and content moderation (experience)
  • Strong debugging and code refactoring skills (experience)

Preferred Qualifications

  • Experience deploying LLM-based RAG systems at scale (10,000+ documents) (experience)
  • Knowledge of Kubernetes and microservices architecture (experience)
  • Experience with DevOps tools such as GitHub Actions or similar CI/CD platforms (experience)
  • Portfolio of LLM applications and sample projects (experience)
  • Understanding of advanced GenAI trends, frameworks, and best practices (experience)

Responsibilities

  • Deploy and maintain knowledge ingestion pipelines and integrate them into API-based services
  • Fine-tune and deploy LLMs for enterprise-scale applications
  • Implement data cleansing, NLP techniques, and optimization strategies for RAG systems
  • Design and build solutions in cloud environments such as Azure, AWS, or GCP
  • Ensure quality through DevOps pipelines, automated testing, and CI/CD practices

Benefits

  • general: Medical/Dental/Vision/Life Insurance
  • general: Paid holidays plus Paid Time Off
  • general: 01(k) plan and contributions
  • general: Long-term/Short-term Disability
  • general: Paid Parental Leave
  • general: Employee Stock Purchase Plan

Target Your Resume for "Generative AI Engineer" , Cognizant

Get personalized recommendations to optimize your resume specifically for Generative AI Engineer. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Generative AI Engineer" , Cognizant

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

TechnologyIT ServicesTechnologyConsulting

Answer 10 quick questions to check your fit for Generative AI Engineer @ Cognizant.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.