AI Solutions Engineer: Copilot Studio & LLMs

Tata Consultancy Services Limited

Pennington (NJ)

On-site

USD 100,000 - 115,000

Full time

4 days ago
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Benefits offered by this job

Discretionary Incentive
Medical Coverage
Dental & Vision
Disability Insurance
Pet Insurance
Parental Leave
Auto & Home Insurance
Identity Protection
Commuter Benefits
Training Reimbursement
Vacation & Holidays
401K Plan
Performance Bonus
College Fund
Student Loan Refinancing

Job summary

Tata Consultancy Services Limited in Pennington, NJ, seeks an experienced AI Developer to design, develop, and deploy AI-powered solutions using Microsoft Copilot Studio and Generative AI models. You will build copilots and conversational agents, integrate enterprise data sources, and optimize AI workflows with modern development practices.

The role requires hands-on knowledge of AI/ML concepts, LLMs, and tools like VS Code, Power Platform, and API integrations.

Qualifications

  • Bachelor's or master's degree in computer science or related field.
  • Hands-on experience with Microsoft Copilot Studio and Generative AI models.
  • Proficiency with Visual Studio Code (VS Code) and enterprise API integrations.

Responsibilities

  • Design, develop, and deploy AI-powered solutions.
  • Build custom copilots and conversational agents.
  • Integrate enterprise data sources and optimize AI workflows.
  • Apply prompt engineering and modern development practices.

Skills

Microsoft Copilot Studio
Generative AI
LLMs
Prompt Engineering
Conversational AI Design
Power Automate
Power Apps
API Integration
VS Code
Python
JavaScript
TypeScript
AI Governance
Responsible AI
Security
Git
GitHub
Microsoft 365
Azure
Azure OpenAI
API Microservices

Education

Bachelor's or Master's in Computer Science

Tools

Azure OpenAI
Power Platform
GitHub

Job description

Tata Consultancy Services Limited in Pennington, NJ, seeks an experienced AI Developer to design, develop, and deploy AI-powered solutions using Microsoft Copilot Studio and Generative AI models. You will build copilots and conversational agents, integrate enterprise data sources, and optimize AI workflows with modern development practices.

The role requires hands-on knowledge of AI/ML concepts, LLMs, and tools like VS Code, Power Platform, and API integrations.

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