Description

Job Responsibilities include:

Design and define enterprise AI architecture, including governance frameworks, guardrails, and reusable prompt libraries.

Build and deploy autonomous AI agents using GitHub Copilot, integrating agentic workflows into Salesforce and enterprise systems.

Develop and optimize prompt engineering strategies (zero-shot, few-shot, chain-of-thought) to enhance AI solution performance.

Implement agent orchestration using RAG, LangChain, and vector databases for scalable and efficient AI pipelines.

Lead architecture reviews, establish standards, and guide delivery teams in adopting Copilot-driven SDLC acceleration.

Collaborate with cross-functional teams to deploy AI solutions on cloud platforms, ensuring scalability, security, and reliability.

Required Qualifications:

Bachelor’s or master’s degree in computer science, Artificial Intelligence, Data Science, or a related technical field.

10+ years of experience in AI/ML architecture, with strong exposure to GenAI and enterprise solution design.

Proven hands-on experience building autonomous agents using GitHub Copilot, RAG frameworks (e.g., LangChain), and prompt engineering techniques.

Strong expertise in designing enterprise AI architecture, governance frameworks, vector databases, and cloud-based AI deployments

Key Skills

Education

Any Graduate