Sr. AI Analytics Engineer
USD 111K-143K (estimate) Senior-level Full Time
Tasks
- Create reusable solution patterns technical documentation and best practices
- Define and implement AI evaluation observability monitoring guardrails and security controls
- Design build and deploy AI enabled analytics solutions
- Develop AI assistants copilots and RAG solutions
- Enable natural language querying automated insights and narrative reporting
- Implement forecasting anomaly detection and marketing analytics initiatives
- Integrate AI solutions with Power BI semantic models and governed datasets
- Partner with business stakeholders BI teams and data engineering to deliver use cases
- Prototype validate and operationalize AI enabled analytics solutions with Python
Perks/Benefits
- 401k company match
- Basic life insurance
- Dental
- Educational assistance
- Healthcare
- Long-term disability
- Paid Charitable Leave
- Paid Holidays
- Paid parental leave
- Paid time off
- Short-term disability
- Vision
Skills/Tech-stack
AI Agents | AI Assistants | AI Foundry | AI Search | Agentic AI | Anomaly Detection | Azure AI | Azure AI Foundry | Azure AI Search | Azure DevOps | Azure OpenAI | CI/CD | Copilot Studio | Forecasting | Jupyter Notebooks | LLMOps | Langchain | Langgraph | Logic Apps | MLOps | Machine Learning | Marketing Analytics | Microsoft 365 | Microsoft Fabric | Microsoft Graph | Model Context Protocol | Natural Language | Natural Language Querying | Power Automate | Power BI | PySpark | Python | Retrieval-Augmented Generation | SQL | Semantic Kernel | Semantic models | Snowflake | Snowpark | Spark | Statistical modeling
Education
Regions
Countries
States
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