Sr. AI Analytics Engineer

About the role

The Senior AI Analytics Engineer will help drive the adoption and delivery of AI-enabled analytics solutions across the enterprise. This role combines Microsoft AI technologies, business intelligence, analytics engineering, and modern data platforms to improve decision-making, automate insight generation, and accelerate business value.

Responsibilities

• Design, build, and deploy AI-enabled analytics solutions using Azure AI Foundry, Copilot Studio, Azure OpenAI, Microsoft 365, Microsoft Graph, and related Microsoft AI technologies.
• Develop AI assistants, copilots, Retrieval-Augmented Generation (RAG) solutions, Agentic AI workflows, and AI agents that securely leverage enterprise data and knowledge assets.
• Enable AI-assisted analytics and BI capabilities, including natural language querying, automated insights, narrative reporting, KPI explanations, proactive alerts, and business recommendations.
• Integrate AI solutions with Power BI, semantic models, governed datasets, enterprise APIs, and modern cloud data platforms.
• Utilize Python and modern analytics tooling to prototype, validate, and operationalize AI-enabled analytics solutions.
• Support advanced analytics initiatives including forecasting, anomaly detection, marketing analytics, social listening, and enterprise insight generation.
• Define and implement AI evaluation frameworks, observability, monitoring, guardrails, security controls, and deployment standards.
• Partner with business stakeholders, BI teams, data engineering teams, and platform owners to identify and deliver high-value AI and analytics use cases.
• Create reusable solution patterns, technical documentation, and best practices to support enterprise AI adoption and scalability.

Minimum Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Systems, Analytics, or a related technical field.
• 8+ years of experience delivering enterprise analytics, BI, data, cloud, software, automation, or AI solutions.
• 2+ years of hands-on AI / GenAI solution delivery experience, including experience deploying enterprise AI solutions into production.
• Hands-on experience with Azure AI Foundry, Copilot Studio, Azure OpenAI, Microsoft Graph, Microsoft 365, Azure AI Search, or similar enterprise AI technologies.
• Experience building AI assistants, copilots, RAG solutions, semantic search solutions, AI agents, or AI-enabled business workflows.
• Experience implementing enterprise AI solutions with appropriate governance, monitoring, observability, evaluation frameworks, guardrails, and secure deployment practices.
• Strong proficiency in Python and SQL.
• Experience working with Power BI, semantic models, governed datasets, enterprise reporting platforms, or BI analytics solutions.
• Experience integrating AI or analytics solutions with enterprise data platforms such as Snowflake or comparable cloud data platforms.
• Proven ability to lead technical workstreams and influence solution delivery without direct people management responsibility.
• Ability to travel domestically up to 5%.

Preferred Qualifications

• Master's degree in a technical, quantitative, or analytics-related field.
• Highly desired: Experience with Model Context Protocol (MCP), Semantic Kernel, LangChain, LangGraph, agent frameworks, tool-calling, plugins, or multi-agent orchestration.
• Experience with Microsoft Fabric, Power Platform, Power Automate, Logic Apps, Azure DevOps, CI/CD, MLOps, LLMOps, or AI observability tools.
• Experience with Jupyter Notebooks, Microsoft Fabric Notebooks, PySpark, Spark, or distributed data processing.
• Working knowledge of statistical modeling, machine learning fundamentals, forecasting, anomaly detection, or model evaluation techniques.
• Familiarity with Snowflake AI capabilities such as Cortex, Cortex Analyst, Cortex Search, Snowpark, Snowflake ML, or Snowflake Intelligence.
• Experience in consumer products, retail, ecommerce, supply chain, marketing analytics, or enterprise BI environments.

Benefits

• Salary + Bonus
• Healthcare, Dental, Vision
• Paid Holidays
• Paid Parental Leave
• 401(k) with company match
• Basic Life Insurance
• Short Term Disability (STD)
• Long Term Disability (LTD)
• Paid Time Off (PTO)
• Paid Charitable (volunteer) Leave
• Educational Assistance