AI Architect _ Autonomous Agents (GitHub Copilot)

Qualifications Proven experience as an AI Architect defining enterprise AI architecture, standards, and governance. Hands‑on experience designing and building agent‑based approaches and autonomous workflows. Strong expertise in Prompt Engineering (Zero‑shot, Few‑shot, Chain‑of‑Thought) and prompt design. Strong Python development experience and ability to guide teams with reference implementations. Experience with Retrieval–Augmented Generation (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). 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 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. 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 adoption. Drive repeatable implementation approach and best practices for Copilot‑based engineering interventions and productivity tracking. 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 roadmap toward autonomous testing where feasible (e.g., test case generation, script automation, regression maintenance). Own enterprise prompt strategy including Zero‑shot, Few‑shot, and Chain‑of‑Thought prompting techniques and prompt governance. Create reusable prompt frameworks/cookbooks, templates, and standards for consistent outcomes across teams. 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. Employee Benefits Summary Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401(k) Plan, Performance Bonus, College Fund, Student Loan Refinancing. Salary Range: $130,000–$140,000 a year. Qualifications:

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