Engineer Artificial Intelligence Application

3 months ago

Katy, TX, USAMid Level

Responsibilities

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 including SharePoint, Dataverse, SQL, ServiceNow, 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, limitations, support models, and adoption guidance.
Support pilots, collect feedback, and iterate toward production readiness.

Bachelor’s degree in Computer Science, Information Technology, Data, Engineering, or a related field, or equivalent practical experience.
4+ years of experience 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.
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.
Ability to configure approved enterprise knowledge sources and translate business needs into practical AI solutions.
Preferred Microsoft Copilot Studio, Power Platform, Azure AI, or related Microsoft certification.
Preferred training or practical experience in prompt design, AI evaluation, knowledge grounding, or responsible AI.
Preferred experience building internal tools for operations, human resources, IT, finance, supply chain, stores, or customer-facing teams.
Preferred familiarity with Retrieval-Augmented Generation patterns, Azure OpenAI, Microsoft Graph, APIs, enterprise search, AI safety, access controls, and data privacy.
Retail or multi-site enterprise experience is preferred.

Regular office attendance is required, with adherence to company work hours, policies, procedures, and professional conduct rules.

10,000+ employees