POSITION SUMMARY:
The Associate AI Engineer is an early-career builder responsible for moving approved ideas from a governed backlog into reliable, well-documented solutions. Working as part of Pogue's AI production team, this individual develops, tests and supports AI and automation capabilities built on Pogue's Microsoft Fabric data platform, and contributes to the enterprise ontology and knowledge foundation that those solutions depend on.
This is a hands-on development role with structured mentorship. Design review and pairing with Pogue's Principal Solutions Architect are a standing part of the work, and this individual is expected to partner directly with business owners so that what gets built is actually used.
EXPERIENCE & EDUCATION:
0–3 years' professional experience in software development, data engineering or a related technical role.
Bachelor's degree in computer science, software engineering, information systems, data science or a related field, or commensurate experience.
PRIMARY RESPONSIBILITIES:
AI Solution Development:
Develop, test & improve bounded AI and automation capabilities using VS Code, SQL, APIs, Git & Pogue-approved cloud services
Support solutions such as permission-aware enterprise search, retrieval-augmented generation (RAG), internal assistants, workflow support & AI-enabled analytics
Data & Enterprise Knowledge:
Work with Microsoft Fabric lakehouse data, governed Gold business objects, semantic models, metadata & shared business definitions
Contribute to Pogue's enterprise ontology & knowledge foundation by documenting objects, relationships, definitions, ownership & authoritative sources
Quality, Security & Trust:
Document architecture, assumptions, decisions, data flows, interfaces, tests, deployment steps & operating runbooks so another team member can understand & support the solution
Evaluate accuracy, failure modes, access behavior, latency, cost & usefulness; turn results into clear release recommendations
Follow Pogue's identity, role-based access, data-classification, approved-model, logging, monitoring & human-approval requirements
Business Partnership & Adoption:
REQUIRED SKILLS
Ability to work individually & as part of a team
Self-motivated & driven
Highly organized & detail oriented
Highly analytical thinker
Positive Attitude
Internal & external customer service
Willingness to ask for context when requirements are incomplete
Minimum 20 hrs of Continued Education (yearly)
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
Coursework or project work in knowledge representation, semantic modeling, enterprise ontologies or knowledge graphs — including Protégé, OWL, RDF or SPARQL
