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Remote senior analytics/AI role with broad skillset at a mid-tier company creates moderate competition.
Requires specific analytics engineering and LLM experience, limiting cross-industry transferability.
Multiple explicit years requirements and mandatory AI/analytics technical skills enforce strict shortlisting.
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Design and develop AI-powered analytics tools, including conversational interfaces that enable natural language querying for faster business insights.
Build and deploy scalable semantic data models, AI agents, and agentic workflows integrating enterprise data with large language models (LLMs) to improve decision making.
Lead responsible AI practices and collaborate cross-functionally to identify opportunities for AI-driven automation and analytics innovation.
8+ years total experience in Analytics Engineering, Business Intelligence, Data Engineering, or AI fields; at least 5 years in analytics engineering.
Minimum 3 years designing and implementing end-to-end AI solutions for analytics.
Strong expertise in Python programming and SQL; experience with production AI applications using LLMs and agentic AI frameworks.
Experience integrating AI solutions with enterprise APIs, databases, and Azure cloud platforms.
Experienced in building enterprise-grade AI analytics products combining semantic data models and LLM-based conversational interfaces.
Skilled at cross-disciplinary collaboration and mentoring technical teams on AI application development and responsible AI.
Comfortable working with modern AI frameworks, agent orchestration concepts (RAG, prompt engineering, memory), and scalable cloud-based analytics architectures.
