Enterprise AI Architect (Agentic AI & GitHub Copilot

We are seeking an Enterprise AI Architect to design and drive the target-state roadmap for cutting-edge Agentic AI and enterprise GitHub Copilot programs. In this high-impact remote role, you will define architecture standards, build reference frameworks, and establish governance guidelines that scale modern AI tools across large engineering organizations. You will serve as the technical subject matter expert, guiding development teams in leveraging generative AI, custom RAG pipelines, and autonomous workflows., * Architect and implement enterprise agentic workflows, prompt libraries, and safety guardrails using GitHub Copilot.

• Design Python-led Retrieval-Augmented Generation (RAG) architectures and multi-turn agent orchestration frameworks.
• Develop enterprise prompt engineering standards, cookbooks, and Chain-of-Thought methodologies.
• Establish developer productivity metrics, GitHub Copilot adoption benchmarks, and agent-assisted testing frameworks.

Proven track record as an AI Architect building enterprise-grade AI architecture, standards, and governance.

Direct experience designing and enabling agent-based approaches and autonomous workflows with GitHub Copilot.

Advanced expertise in Python development, vector databases, and RAG frameworks (e.g., LangChain).

Deep technical understanding of prompt design, including Zero-shot, Few-shot, and Chain-of-Thought prompting.

PREFERRED QUALIFICATIONS

Experience building developer productivity accelerators and converting Figma designs to boilerplate code.

Knowledge of production-level AI governance, enterprise risk management, and Responsible AI principles.

Experience designing change management frameworks and developer champion models to accelerate AI adoption.

skills:

AI,Code Automation,automated test,cloud deployments,Figma,Retrieval-Augmented Generation (RAG) pipelines,GitHub Copilot,AI Architecture,multi-agent systems,Prompt Engineering,Python,Python Development,hands-on coding,Testing Strategy,Agentic AI,leadership,Autonomous,visionary,architecture standards,Automation,Change Management,Responsible AI,governance frameworks,library management,maintenance,metrics,Safety,vector databases,workflows