Engineer Artificial Intelligence

Education

Bachelor's degree in Computer Science, Information Technology, Data, Engineering, or a related field, or equivalent practical experience.

Microsoft Copilot Studio, Power Platform, Azure AI, or related Microsoft certification preferred.

Practical experience in prompt design, AI evaluation, knowledge grounding, or responsible AI preferred.

4+ years in AI solution development, automation, application development, data platforms, or enterprise technology.

Hands‑on experience building AI agents, copilots, chatbots, workflow automations, or advanced digital assistants.

Experience with Microsoft Copilot Studio, Power Automate, Power Apps, SharePoint, Teams, Dataverse, or Azure AI.

Experience building internal tools for operations, human resources, IT, finance, supply chain, stores, or customer‑facing teams preferred.

Retail or multi‑site enterprise experience preferred.

• Strong understanding of prompt design, knowledge grounding, and AI testing methods
• Ability to design agent instructions, conversation flows, prompts, knowledge grounding, actions, and escalation paths
• Comfort configuring approved knowledge sources such as SharePoint, Dataverse, SQL, Service Now, internal documents, and enterprise data
• Ability to work directly with business users and translate needs into practical AI solutions
• Strong problem‑solving skills and comfort working in fast‑moving, ambiguous environments
• Familiarity with Retrieval‑Augmented Generation (RAG) patterns, Azure OpenAI, Microsoft Graph, APIs, enterprise search, AI safety, access controls, and data privacy preferred

• Build AI agents, copilots, and assistant experiences using Microsoft Copilot Studio, Azure AI Studio, Power Platform, SharePoint, Teams, and related Microsoft tools
• Design agent instructions, conversation flows, prompts, knowledge grounding, actions, and escalation paths
• Configure approved knowledge sources such as SharePoint, Dataverse, SQL, Service Now, internal documents, and enterprise data
• Partner with business stakeholders to clarify requirements and convert use cases into working prototypes
• Test agent performance for accuracy, completeness, hallucination risk, usability, and business fit
• Improve agent quality through prompt refinement, knowledge tuning, evaluation frameworks, and user feedback
• Package successful prototypes into reusable templates, starter prompts, and build patterns
• Document agent configuration, data sources, known limitations, support model, and adoption guidance
• Support pilots, collect feedback, and iterate quickly toward production readiness

Responsibilities may change; team members may be required to perform other duties as assigned.

Acceptable level of hearing and vision to perform job duties.

Adhere to company work hours, policies, procedures, and rules governing professional staff behavior. Regular office attendance is required.

Academy is an Equal Opportunity Employer and does not discriminate with regard to employment opportunities or practices on the basis of race, religion, national origin, sex, age, disability, gender identity, sexual orientation, or any other category protected by law.