RESUME AND JOB
Cognizant
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.
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.
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.
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Cognizant
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.
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.
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.
Get personalized recommendations to optimize your resume specifically for M365 Copilot Gen AI. Takes only 15 seconds!
Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

No related jobs found at the moment.
© 2025 Pro Partners. All rights reserved.