Education:

• Bachelor’s degree in Computer Science, Data Engineering, Artificial Intelligence, or a related technical field required
• Advanced degree preferred

Work Experiences:

• 5+ years of experience in AI/ML, data engineering, or enterprise platform development
• At least 2 years of hands‑on experience building AI agents, automations, or advanced AI‑enabled solutions
• Proven experience translating business problems into production AI solutions with measurable ROI
• Experience working cross‑functionally with business leaders, Enterprise Architecture, and Information Security in a governed enterprise environment
• Retail or multi‑site enterprise experience preferred

Skills:

• Expert knowledge of Microsoft AI platforms, including Copilot Studio, Azure OpenAI Service (deployments, fine‑tuning, grounding), and the Power Platform (Power Automate, Power Apps)
• Deep understanding of enterprise data architectures and integrations (SQL, Dataverse, SharePoint, APIs, data lakes)
• Advanced prompt engineering skills with demonstrated ability to reduce hallucinations and improve accuracy
• Proven experience designing and implementing Retrieval‑Augmented Generation (RAG) patterns
• Familiarity with non‑Microsoft AI platforms such as Google Gemini, Anthropic Claude, or open‑source models
• Strong communication skills with the ability to explain complex AI concepts to non‑technical executives

Responsibilities:

• Design, configure, and deploy custom AI agents using Microsoft Copilot Studio, Azure AI Studio, and supporting Microsoft AI tools
• Develop agent logic, manage API integrations, and optimize RAG solutions grounded in internal Academy data
• Evaluate and prototype non‑Microsoft AI platforms when appropriate, while maintaining Microsoft as the enterprise standard
• Partner with business function leaders to understand AI needs, pain points, and transformation opportunities
• Serve as the enterprise AI intake authority, assessing proposed initiatives and determining the appropriate delivery path (native platform capability, AI CoE solution, or third‑party tool)
• Partner with Enterprise Architecture to develop and maintain an enterprise AI roadmap aligned to business strategy
• Prevent shadow AI and tool sprawl by ensuring all AI initiatives are visible, governed, and standardized
• Establish and enforce AI guardrails, including data privacy, model access controls, cost management, and prompt security
• Partner with Information Security and Legal to define and maintain AI governance frameworks, acceptable use policies, and audit trails
• Design evaluation frameworks to monitor AI agent performance, accuracy, adoption, ROI, and model drift
• Build internal awareness and momentum so business teams proactively engage the AI CoE for the right use cases
• Act as a trusted advisor and educator to leaders across the enterprise on AI capabilities and best practices

Physical Requirements & Attendance

• Acceptable level of hearing and vision to perform job duties
• Adhere to company work hours, policies, procedures, and rules governing professional staff behavior
• Regular in-office attendance is required.