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Medium — remote role, metro location, and popular analytics title with AI specialization create moderate applicant density.
Medium — analytics and LLM skills transferable, but enterprise semantic modeling and Azure preference increase specialization.
High — explicit 8+ years requirement plus mandatory analytics, Python/SQL, LLM, and Azure experience.
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Design and develop AI-powered analytics tools and semantic data models to enable conversational and intelligent business insights.
Build and deploy production AI agents and LLM-powered applications using modern AI frameworks, integrating with enterprise data and cloud platforms.
Collaborate cross-functionally to identify AI use cases that improve decision making and operational efficiency, and serve as an AI SME and mentor within the Analytics organization.
8+ years total experience in Analytics Engineering, BI, Data Engineering, AI or related fields, including 5+ years in analytics engineering.
Minimum 3 years experience designing and implementing end-to-end AI analytics solutions.
Advanced programming skills in Python and strong expertise in SQL, with experience building production AI applications using LLMs and agentic AI frameworks.
Experience integrating AI solutions with enterprise APIs, databases, and cloud platforms (Azure preferred).
Experienced in developing scalable AI-enabled analytics platforms combining enterprise data and conversational AI interfaces.
Skilled in agent orchestration, Retrieval-Augmented Generation (RAG), prompt engineering, and AI evaluation with hands-on expertise in agentic AI frameworks.
Able to influence and mentor technical teams and stakeholders, driving AI adoption and responsible AI practices within enterprise analytics environments.