Senior Gen AI Developer: Lead Copilot & RAG Solutions

LTM

Greensboro (NC)

On-site

USD 140,000 - 190,000

Full time

14 days+
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Benefits offered by this job

Medical Plan
Disability Coverage
401(k) Plan
Life Insurance
Vacation & Holidays
Paid Parental Leave

Job summary

LTIMindtree is seeking a Senior Gen AI Developer onshore in the United States to drive enterprise AI initiatives in Greensboro/NC region. You will design and implement Gen AI solutions using Python, Copilot, and Azure OpenAI services, building scalable RAG-based architectures.

You will lead development, mentor teams, and collaborate with stakeholders to define AI use cases while ensuring governance and security across enterprise apps and data sources.

Qualifications

  • Bachelor's or master's degree in computer science or related field.
  • Strong client-facing and communication skills.
  • Experience delivering enterprise-scale AI solutions.

Responsibilities

  • Design and develop Gen AI solutions using Python and Microsoft Copilot.
  • Build AI agents copilots and automation workflows.
  • Integrate AI solutions with enterprise applications and data sources.
  • Implement RAG-based architectures and prompt engineering techniques.
  • Collaborate with business stakeholders and client teams to define AI use cases.
  • Ensure solution scalability, security and governance.
  • Provide technical leadership and mentor development teams.

Skills

Generative AI LLMs
RAG Prompt Engineering
Python Development
Copilot Studio
Azure OpenAI
API Integration

Education

Bachelor's/Master's degree in Computer Science or related field

Tools

Microsoft Copilot
Copilot Studio
Azure OpenAI Services

Job description

LTIMindtree is seeking a Senior Gen AI Developer onshore in the United States to drive enterprise AI initiatives in Greensboro/NC region. You will design and implement Gen AI solutions using Python, Copilot, and Azure OpenAI services, building scalable RAG-based architectures.

You will lead development, mentor teams, and collaborate with stakeholders to define AI use cases while ensuring governance and security across enterprise apps and data sources.

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