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
· Salesforce ecosystem experience with ability to guide agentic development for Salesforce (architecture + delivery enablement). (Role requirement; no internal doc explicitly lists this combined requirement.)
· 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.
Roles & Responsibilities
1) 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.
2) 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
3) Agentic Development for Salesforce (End-to-End)
· Lead the architecture for Agentic Development in Salesforce, covering development and quality engineering workflows.
· 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).
4) 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.
5) 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.
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