Description

Architecture & Strategy (AI / Agentic AI):

• Define the overall solution architecture for enterprise agentic AI programs and create the target-state roadmap
• Establish AI architecture standards, reference patterns, and governance guidelines for adoption at scale.
• Design architecture across LLMs/frameworks, vector databases, and cloud deployments, including Responsible AI practices.

Autonomous Agent Design & Orchestration (Copilot-led):

• Architect and enable autonomous agent workflows using GitHub Copilot, including multi-step orchestration and enterprise guardrails.
• Define a framework for prompt libraries, guardrails, extensions/integrations, and productivity metric tracking for Copilot adopt
• Drive repeatable implementation approach and best practices for Copilot-based engineering interventions and productivity tracking
• Enable Copilot-driven acceleration from design artifacts (e.g., Figma requirement sheets) to boilerplate code and supporting assets, where applicable.
• Establish patterns for agent-assisted testing and a roadmap toward autonomous testing where feasible (e.g., test case generation, script automation, regression maintenance).

Prompt Engineering Excellence:

• Own enterprise prompt strategy including Zero-shot / Few-shot / Chain-of-Thought prompting techniques and prompt governance.
• Create reusable prompt frameworks/cookbooks, templates, and standards for consistent outcomes across teams.

RAG + Model/Tool Orchestration (Python-led):

• Architect and govern RAG pipelines, knowledge grounding approaches, and multi-turn agent orchestration using frameworks such as LangChain (or equivalent). 
• Provide hands-on guidance for implementation in Python, including reference implementations and integration patterns.

Must Have Technical/Functional Skills:

• Proven experience as an AI Architect defining enterprise AI architecture, standards, and governance.
• Hands-on experience designing/building agent-based approaches and autonomous workflows.
• Strong expertise in Prompt Engineering (Zero/Few-shot, Chain-of-Thought) and prompt design.
• Strong Python development experience and ability to guide teams with reference implementations.
• Experience with RAG, vector databases, and cloud deployments.
• Practical experience with GitHub Copilot adoption patterns including guardrails, prompt library management, extensions, and metrics.
• Experience with Java EE and React JS.

Preferred / Nice to Have:

• Experience designing enterprise adoption frameworks for Copilot/AI with change management and champion models. 
• Experience building Copilot-led accelerators for engineering productivity and rapid prototyping. 
• Knowledge of AI governance requirements and Productionization practices

Key Skills

Education

Bachelor's degree