Associate AI Engineer

Build and support governed, bounded AI and automation solutions on Microsoft Fabric at Pogue in McKinney, TX.

Responsibilities

• Develop, test, and improve bounded AI and automation capabilities using VS Code, SQL, APIs, Git, and Pogue-approved cloud services
• Support solutions including permission-aware enterprise search, retrieval-augmented generation (RAG), internal assistants, workflow support, and AI-enabled analytics
• Convert approved backlog items into requirements, technical tasks, acceptance criteria, and small releases that are measurable and safely supported
• Create prototypes during discovery, then help transform validated prototypes into maintainable services and reusable patterns
• Participate in design review with the Principal Solutions Architect before development starts, then move approved designs through to release
• Work with Microsoft Fabric lakehouse data, governed Gold business objects, semantic models, metadata, and shared business definitions
• Connect structured data with approved documents using secure APIs and retrieval patterns while preserving source permissions, citations, versions, and effective dates
• Contribute to Pogue’s enterprise ontology and knowledge foundation by documenting objects, relationships, definitions, ownership, and authoritative sources
• Build only on data confirmed as validated in the Gold layer
• Document architecture, assumptions, decisions, data flows, interfaces, tests, deployment steps, and operating runbooks for ongoing support
• Evaluate accuracy, failure modes, access behavior, latency, cost, and usefulness; convert results into clear release recommendations
• Follow Pogue requirements for identity, role-based access, data-classification, approved-model use, logging, monitoring, and human-approval steps
• Raise uncertainty, security concerns, and data-quality issues early and propose practical options instead of hiding risk
• Work with business owners and subject-matter experts to understand the decision or workflow before selecting a technical approach
• Communicate tradeoffs in plain language, ask focused questions, demonstrate progress, and incorporate feedback from technical and nontechnical teammates
• Support adoption with concise guides, examples, training materials, and responsive follow-through after launch
• Support the AI Champions Network as solutions roll out to project teams

Requirements

• Team player mindset
• Teachable and capable of learning through feedback
• Curious and self-directed
• Can write and troubleshoot code in VS Code
• Working knowledge of SQL
• Working understanding of REST APIs, Git-based collaboration, testing, and basic cloud concepts
• Secure handling of credentials and data
• Ability to explain a technical project, including decisions made, tradeoffs, and how results were validated
• Clear written communication
• Able to relate to and communicate with a diverse group of professionals
• Can work both individually and as part of a team
• Self-motivated and driven
• Highly organized and detail oriented
• Highly analytical thinker
• Positive attitude
• Internal and external customer service orientation
• Willingness to ask for context when requirements are incomplete
• Minimum 20 hrs of Continued Education (yearly)

Technologies

• VS Code, SQL, APIs, Git
• Microsoft Fabric, OneLake
• Azure AI Search, Azure OpenAI, Azure AI Foundry
• Power BI
• LLM applications, RAG, embeddings
• Prompt or model lifecycle management
• Agents or workflow automation
• Protégé, OWL, RDF, SPARQL
• TypeScript, C#, CI/CD
• Containerized services, monitoring

Technical Program Experience (Not Required)

• Microsoft Azure or Fabric, OneLake or lakehouse patterns, Power BI, Azure AI Search, Azure OpenAI or Azure AI Foundry
• LLM applications, RAG, embeddings, evaluation, prompt or model lifecycle management, agents or workflow automation
• Knowledge representation, semantic modeling, enterprise ontologies, or knowledge graphs coursework or projects, including Protégé, OWL, RDF, or SPARQL
• Metadata, data lineage, document management, or construction and project-control systems
• TypeScript, C#, or another modern language
• CI/CD, containerized services, monitoring, cost management, or secure enterprise integration

Location: McKinney, TX (onsite)

Education: Bachelor’s degree in computer science, software engineering, information systems, data science, or a related field (or co…)