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Cognizant logo

M365 Copilot Gen AI

Cognizant

M365 Copilot Gen AI

Cognizant logo

Cognizant

full-time

Posted: December 7, 2025

Number of Vacancies: 1

Job Description

Position: Gen AI & Copilot Developer

Exp : 3 to 8 Years

GenAI, Agentic AI & Copilot Developer : with experience in building and deploying AI copilots, agentic AI solutions, and LLM-powered applications. The ideal candidate will have hands-on experience with OpenAI / Azure OpenAI, LLM orchestration frameworks (e.g., LangChain, Semantic Kernel), prompt engineering, and tool/function calling.

The role involves designing intelligent, multi-step agents that integrate with enterprise data and services to drive automation, reasoning, and decision-making. Experience with Microsoft Copilot extensibility and M365 integration is highly preferred.

1. Foundations of Generative AI

a. Understanding of LLMs (GPT, Claude, LLaMA, etc.)

b. Differences between generative AI vs traditional ML

c. Prompt engineering: Zero-shot, few-shot, chain-of-thought, and retrieval-augmented generation (RAG)

d. Model capabilities, limitations, and hallucination handling

2. Agentic AI Concepts

a. What is an AI Agent? How does it differ from a copilot?

b. Multi-step reasoning, task planning, and goal decomposition

c. Memory, context management, and tool usage

d. Knowledge grounding and external action execution

e. Use of frameworks like LangChain, Semantic Kernel, or CrewAI

3. Copilot Development (Microsoft Ecosystem)

a. Copilot extensibility in Microsoft 365 (e.g., Word, Excel, Outlook)

b. Copilot Studio: building custom copilots, integrating plugins

c. Graph connectors and Microsoft Graph API usage

d. Use of Power Platform (Power Automate, Power Apps) in AI-powered solutions

4. LLM Orchestration & Integration

a. LangChain/Semantic Kernel: chains, agents, memory, tools

b. Tool/function calling (e.g., OpenAI tool use, plugins)

c. Vector database integration (Pinecone, FAISS, Azure AI Search)

d. Data grounding (RAG pipelines)

5. Security, Privacy & Governance

e. Handling PII and enterprise data securely in GenAI solutions

f. Prompt injection, model output filtering, and misuse prevention

g. Monitoring and observability of AI agent behavior

6. Architecture and Deployment

a. Building scalable GenAI-powered APIs and microservices

b. Deploying to Azure, AWS, or hybrid environments

c. Using containerization and API gateways for modular agent-based services

7. Use Case Design and Real-World Scenarios

a. Walkthrough of past GenAI or agent projects (internal or POCs)

b. Business-centric use cases: HR assistant, policy copilot, knowledge bot, workflow automation

c. Measuring success: accuracy, user feedback, adoption

8. Soft Skills & Collaboration

a. Collaborating with business teams to translate requirements

b. Balancing innovation and feasibility

c. Communicating AI limitations clearly to stakeholders

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
  • 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 is a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025
  • Cognizant is consistently listed among the most admired companies in the world
  • 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

Key Responsibilities

  • Designing intelligent, multi-step agents that integrate with enterprise data and services
  • Driving automation, reasoning, and decision-making through AI solutions
  • Collaborating with business teams to translate requirements into AI solutions
  • Balancing innovation and feasibility in AI project development
  • Communicating AI limitations clearly to stakeholders
  • Walking through past GenAI or agent projects (internal or POCs)
  • Designing business-centric use cases such as HR assistant, policy copilot, knowledge bot, workflow automation
  • Measuring success through accuracy, user feedback, and adoption

Required Qualifications

  • to 8 years of experience in building and deploying AI copilots, agentic AI solutions, and LLM-powered applications
  • Hands-on experience with OpenAI / Azure OpenAI
  • Experience with LLM orchestration frameworks such as LangChain, Semantic Kernel
  • Knowledge of prompt engineering including zero-shot, few-shot, chain-of-thought, and retrieval-augmented generation (RAG)
  • Understanding of model capabilities, limitations, and hallucination handling
  • Experience with multi-step reasoning, task planning, and goal decomposition in agentic AI
  • Knowledge of memory, context management, and tool usage in AI agents
  • Experience with knowledge grounding and external action execution
  • Familiarity with frameworks like LangChain, Semantic Kernel, or CrewAI
  • Understanding of security, privacy, and governance in GenAI solutions
  • Experience in building scalable GenAI-powered APIs and microservices
  • Knowledge of deploying to Azure, AWS, or hybrid environments
  • Experience with containerization and API gateways for modular agent-based services

Preferred Qualifications

  • Experience with Microsoft Copilot extensibility and M365 integration
  • Experience with Copilot Studio for building custom copilots and integrating plugins
  • Knowledge of Graph connectors and Microsoft Graph API usage
  • Experience with Power Platform (Power Automate, Power Apps) in AI-powered solutions
  • Experience with vector database integration (Pinecone, FAISS, Azure AI Search)
  • Knowledge of data grounding (RAG pipelines)
  • Experience in handling PII and enterprise data securely in GenAI solutions
  • Knowledge of prompt injection, model output filtering, and misuse prevention
  • Experience in monitoring and observability of AI agent behavior

Skills Required

  • Understanding of LLMs (GPT, Claude, LLaMA, etc.)
  • Knowledge of differences between generative AI vs traditional ML
  • Prompt engineering skills
  • Agentic AI concepts
  • Copilot development within the Microsoft ecosystem
  • LLM orchestration and integration
  • Security, privacy, and governance in AI
  • Architecture and deployment of AI solutions
  • Use case design and real-world scenario application
  • Soft skills and collaboration

Additional Requirements

  • Applicants may be required to attend interviews in person or by video conference
  • Candidates may be required to present their current state or government issued ID during each interview

Locations

  • India

Salary

Estimated Salary Rangemedium confidence

800,000 - 1,500,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Understanding of LLMs (GPT, Claude, LLaMA, etc.)intermediate
  • Knowledge of differences between generative AI vs traditional MLintermediate
  • Prompt engineering skillsintermediate
  • Agentic AI conceptsintermediate
  • Copilot development within the Microsoft ecosystemintermediate
  • LLM orchestration and integrationintermediate
  • Security, privacy, and governance in AIintermediate
  • Architecture and deployment of AI solutionsintermediate
  • Use case design and real-world scenario applicationintermediate
  • Soft skills and collaborationintermediate

Required Qualifications

  • to 8 years of experience in building and deploying AI copilots, agentic AI solutions, and LLM-powered applications (experience)
  • Hands-on experience with OpenAI / Azure OpenAI (experience)
  • Experience with LLM orchestration frameworks such as LangChain, Semantic Kernel (experience)
  • Knowledge of prompt engineering including zero-shot, few-shot, chain-of-thought, and retrieval-augmented generation (RAG) (experience)
  • Understanding of model capabilities, limitations, and hallucination handling (experience)
  • Experience with multi-step reasoning, task planning, and goal decomposition in agentic AI (experience)
  • Knowledge of memory, context management, and tool usage in AI agents (experience)
  • Experience with knowledge grounding and external action execution (experience)
  • Familiarity with frameworks like LangChain, Semantic Kernel, or CrewAI (experience)
  • Understanding of security, privacy, and governance in GenAI solutions (experience)
  • Experience in building scalable GenAI-powered APIs and microservices (experience)
  • Knowledge of deploying to Azure, AWS, or hybrid environments (experience)
  • Experience with containerization and API gateways for modular agent-based services (experience)

Preferred Qualifications

  • Experience with Microsoft Copilot extensibility and M365 integration (experience)
  • Experience with Copilot Studio for building custom copilots and integrating plugins (experience)
  • Knowledge of Graph connectors and Microsoft Graph API usage (experience)
  • Experience with Power Platform (Power Automate, Power Apps) in AI-powered solutions (experience)
  • Experience with vector database integration (Pinecone, FAISS, Azure AI Search) (experience)
  • Knowledge of data grounding (RAG pipelines) (experience)
  • Experience in handling PII and enterprise data securely in GenAI solutions (experience)
  • Knowledge of prompt injection, model output filtering, and misuse prevention (experience)
  • Experience in monitoring and observability of AI agent behavior (experience)

Responsibilities

  • Designing intelligent, multi-step agents that integrate with enterprise data and services
  • Driving automation, reasoning, and decision-making through AI solutions
  • Collaborating with business teams to translate requirements into AI solutions
  • Balancing innovation and feasibility in AI project development
  • Communicating AI limitations clearly to stakeholders
  • Walking through past GenAI or agent projects (internal or POCs)
  • Designing business-centric use cases such as HR assistant, policy copilot, knowledge bot, workflow automation
  • Measuring success through accuracy, user feedback, and adoption

Target Your Resume for "M365 Copilot Gen AI" , Cognizant

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Cognizant logo

M365 Copilot Gen AI

Cognizant

M365 Copilot Gen AI

Cognizant logo

Cognizant

full-time

Posted: December 7, 2025

Number of Vacancies: 1

Job Description

Position: Gen AI & Copilot Developer

Exp : 3 to 8 Years

GenAI, Agentic AI & Copilot Developer : with experience in building and deploying AI copilots, agentic AI solutions, and LLM-powered applications. The ideal candidate will have hands-on experience with OpenAI / Azure OpenAI, LLM orchestration frameworks (e.g., LangChain, Semantic Kernel), prompt engineering, and tool/function calling.

The role involves designing intelligent, multi-step agents that integrate with enterprise data and services to drive automation, reasoning, and decision-making. Experience with Microsoft Copilot extensibility and M365 integration is highly preferred.

1. Foundations of Generative AI

a. Understanding of LLMs (GPT, Claude, LLaMA, etc.)

b. Differences between generative AI vs traditional ML

c. Prompt engineering: Zero-shot, few-shot, chain-of-thought, and retrieval-augmented generation (RAG)

d. Model capabilities, limitations, and hallucination handling

2. Agentic AI Concepts

a. What is an AI Agent? How does it differ from a copilot?

b. Multi-step reasoning, task planning, and goal decomposition

c. Memory, context management, and tool usage

d. Knowledge grounding and external action execution

e. Use of frameworks like LangChain, Semantic Kernel, or CrewAI

3. Copilot Development (Microsoft Ecosystem)

a. Copilot extensibility in Microsoft 365 (e.g., Word, Excel, Outlook)

b. Copilot Studio: building custom copilots, integrating plugins

c. Graph connectors and Microsoft Graph API usage

d. Use of Power Platform (Power Automate, Power Apps) in AI-powered solutions

4. LLM Orchestration & Integration

a. LangChain/Semantic Kernel: chains, agents, memory, tools

b. Tool/function calling (e.g., OpenAI tool use, plugins)

c. Vector database integration (Pinecone, FAISS, Azure AI Search)

d. Data grounding (RAG pipelines)

5. Security, Privacy & Governance

e. Handling PII and enterprise data securely in GenAI solutions

f. Prompt injection, model output filtering, and misuse prevention

g. Monitoring and observability of AI agent behavior

6. Architecture and Deployment

a. Building scalable GenAI-powered APIs and microservices

b. Deploying to Azure, AWS, or hybrid environments

c. Using containerization and API gateways for modular agent-based services

7. Use Case Design and Real-World Scenarios

a. Walkthrough of past GenAI or agent projects (internal or POCs)

b. Business-centric use cases: HR assistant, policy copilot, knowledge bot, workflow automation

c. Measuring success: accuracy, user feedback, adoption

8. Soft Skills & Collaboration

a. Collaborating with business teams to translate requirements

b. Balancing innovation and feasibility

c. Communicating AI limitations clearly to stakeholders

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
  • 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 is a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025
  • Cognizant is consistently listed among the most admired companies in the world
  • 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

Key Responsibilities

  • Designing intelligent, multi-step agents that integrate with enterprise data and services
  • Driving automation, reasoning, and decision-making through AI solutions
  • Collaborating with business teams to translate requirements into AI solutions
  • Balancing innovation and feasibility in AI project development
  • Communicating AI limitations clearly to stakeholders
  • Walking through past GenAI or agent projects (internal or POCs)
  • Designing business-centric use cases such as HR assistant, policy copilot, knowledge bot, workflow automation
  • Measuring success through accuracy, user feedback, and adoption

Required Qualifications

  • to 8 years of experience in building and deploying AI copilots, agentic AI solutions, and LLM-powered applications
  • Hands-on experience with OpenAI / Azure OpenAI
  • Experience with LLM orchestration frameworks such as LangChain, Semantic Kernel
  • Knowledge of prompt engineering including zero-shot, few-shot, chain-of-thought, and retrieval-augmented generation (RAG)
  • Understanding of model capabilities, limitations, and hallucination handling
  • Experience with multi-step reasoning, task planning, and goal decomposition in agentic AI
  • Knowledge of memory, context management, and tool usage in AI agents
  • Experience with knowledge grounding and external action execution
  • Familiarity with frameworks like LangChain, Semantic Kernel, or CrewAI
  • Understanding of security, privacy, and governance in GenAI solutions
  • Experience in building scalable GenAI-powered APIs and microservices
  • Knowledge of deploying to Azure, AWS, or hybrid environments
  • Experience with containerization and API gateways for modular agent-based services

Preferred Qualifications

  • Experience with Microsoft Copilot extensibility and M365 integration
  • Experience with Copilot Studio for building custom copilots and integrating plugins
  • Knowledge of Graph connectors and Microsoft Graph API usage
  • Experience with Power Platform (Power Automate, Power Apps) in AI-powered solutions
  • Experience with vector database integration (Pinecone, FAISS, Azure AI Search)
  • Knowledge of data grounding (RAG pipelines)
  • Experience in handling PII and enterprise data securely in GenAI solutions
  • Knowledge of prompt injection, model output filtering, and misuse prevention
  • Experience in monitoring and observability of AI agent behavior

Skills Required

  • Understanding of LLMs (GPT, Claude, LLaMA, etc.)
  • Knowledge of differences between generative AI vs traditional ML
  • Prompt engineering skills
  • Agentic AI concepts
  • Copilot development within the Microsoft ecosystem
  • LLM orchestration and integration
  • Security, privacy, and governance in AI
  • Architecture and deployment of AI solutions
  • Use case design and real-world scenario application
  • Soft skills and collaboration

Additional Requirements

  • Applicants may be required to attend interviews in person or by video conference
  • Candidates may be required to present their current state or government issued ID during each interview

Locations

  • India

Salary

Estimated Salary Rangemedium confidence

800,000 - 1,500,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Understanding of LLMs (GPT, Claude, LLaMA, etc.)intermediate
  • Knowledge of differences between generative AI vs traditional MLintermediate
  • Prompt engineering skillsintermediate
  • Agentic AI conceptsintermediate
  • Copilot development within the Microsoft ecosystemintermediate
  • LLM orchestration and integrationintermediate
  • Security, privacy, and governance in AIintermediate
  • Architecture and deployment of AI solutionsintermediate
  • Use case design and real-world scenario applicationintermediate
  • Soft skills and collaborationintermediate

Required Qualifications

  • to 8 years of experience in building and deploying AI copilots, agentic AI solutions, and LLM-powered applications (experience)
  • Hands-on experience with OpenAI / Azure OpenAI (experience)
  • Experience with LLM orchestration frameworks such as LangChain, Semantic Kernel (experience)
  • Knowledge of prompt engineering including zero-shot, few-shot, chain-of-thought, and retrieval-augmented generation (RAG) (experience)
  • Understanding of model capabilities, limitations, and hallucination handling (experience)
  • Experience with multi-step reasoning, task planning, and goal decomposition in agentic AI (experience)
  • Knowledge of memory, context management, and tool usage in AI agents (experience)
  • Experience with knowledge grounding and external action execution (experience)
  • Familiarity with frameworks like LangChain, Semantic Kernel, or CrewAI (experience)
  • Understanding of security, privacy, and governance in GenAI solutions (experience)
  • Experience in building scalable GenAI-powered APIs and microservices (experience)
  • Knowledge of deploying to Azure, AWS, or hybrid environments (experience)
  • Experience with containerization and API gateways for modular agent-based services (experience)

Preferred Qualifications

  • Experience with Microsoft Copilot extensibility and M365 integration (experience)
  • Experience with Copilot Studio for building custom copilots and integrating plugins (experience)
  • Knowledge of Graph connectors and Microsoft Graph API usage (experience)
  • Experience with Power Platform (Power Automate, Power Apps) in AI-powered solutions (experience)
  • Experience with vector database integration (Pinecone, FAISS, Azure AI Search) (experience)
  • Knowledge of data grounding (RAG pipelines) (experience)
  • Experience in handling PII and enterprise data securely in GenAI solutions (experience)
  • Knowledge of prompt injection, model output filtering, and misuse prevention (experience)
  • Experience in monitoring and observability of AI agent behavior (experience)

Responsibilities

  • Designing intelligent, multi-step agents that integrate with enterprise data and services
  • Driving automation, reasoning, and decision-making through AI solutions
  • Collaborating with business teams to translate requirements into AI solutions
  • Balancing innovation and feasibility in AI project development
  • Communicating AI limitations clearly to stakeholders
  • Walking through past GenAI or agent projects (internal or POCs)
  • Designing business-centric use cases such as HR assistant, policy copilot, knowledge bot, workflow automation
  • Measuring success through accuracy, user feedback, and adoption

Target Your Resume for "M365 Copilot Gen AI" , Cognizant

Get personalized recommendations to optimize your resume specifically for M365 Copilot Gen AI. Takes only 15 seconds!

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

Check Your ATS Score for "M365 Copilot Gen AI" , 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

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