AI & Analytics Engineer

Role Overview

• Assist in building and enhancing AI-powered applications and agents that support business workflows
• Develop components of AI solutions that automate routine tasks and surface insights
• Gather requirements from stakeholders with guidance from senior team members
• Iterate on AI applications based on user feedback and testing results
• Provide ongoing Level 3 support for software products
• Support integration of AI applications with enterprise systems (e.g., EMR, HRIS, data platforms) under senior direction
• Assist with deployment, testing, and monitoring of AI solutions in lower and production environments
• Translate documented business requirements into functional workflows
• Follow established standards for reliability, security, and code quality
• Build and maintain ETL/ELT pipelines that feed analytics and AI use cases
• Ingest and transform data from multiple source systems into centralized platforms
• Validate accuracy, completeness, and structure of pipeline outputs
• Develop and maintain semantic models, datasets, and dashboards (Power BI and related tools)
• Apply standardized business metrics and KPI definitions across reports
• Optimize queries and data structures for performance and usability
• Implement and maintain row-level security and access controls on reports
• Partner with IT, clinical informatics, operations, and business stakeholders to understand reporting and AI needs
• Communicate progress, blockers, and trade-offs clearly to both technical and non-technical audiences
• Escalate architectural or scope questions to senior engineers
• Follow team practices for source control, code review, documentation, and testing
• Monitor AI outputs and data pipelines for accuracy and reliability
• Support compliance with data security, privacy, and governance standards (HIPAA-aware)
• Build technical depth in AI/ML tooling, cloud services, and modern data platforms
• Contribute small improvements to existing AI tools, dashboards, and pipelines
• Stay current with emerging AI and analytics technologies relevant to healthcare operations

Requirements

• 2–4 years of experience in data analytics, BI development, data engineering, or software development
• Hands-on experience building custom software products, including writing code and delivering end-to-end solutions aligned to business requirements.
• Proven ability to conduct testing, troubleshoot and debug issues, and ensure high-quality, reliable application performance across environments.
• Hands-on experience building dashboards, reports, or data pipelines in a professional setting
• Exposure to AI, machine learning, or workflow automation projects (academic or professional) preferred
• Demonstrated proficiency in modern software engineering tools (IDES), practices; including Agile development, CI/CD workflows, automated testing, and code review standards.
• Working proficiency with SQL and relational data modeling
• Experience with Power BI (or comparable BI platform) including DAX and semantic models
• Familiarity with ETL/ELT concepts and at least one data integration tool
• Exposure to cloud platforms (Azure preferred) and AI/ML services a plus
• Comfort working with both structured and unstructured data.

Tech Stack

• Azure
• Cloud
• ETL
• SQL

Benefits

• Health insurance
• Flexible working arrangements
• Professional development opportunities
• Paid time off