SummaryThe AI & Analytics Engineer I supports the design, build, and delivery of AI-powered applications, data pipelines, and analytics solutions that drive operational efficiency and decision-making across the organization.
This is a developing-professional role focused on hands-on execution under the guidance of senior engineers, with the goal of expanding the team's capacity to deliver AI applications and distribute insights at greater velocity.
DescriptionCore ResponsibilitiesAI Applications Development - 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
AI Integration & Delivery - 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
Data Engineering & Pipeline Development - 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
Analytics & Data Modeling - 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
Cross-Functional Collaboration - 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
Engineering Standards & Quality - 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)
Continuous Learning & Improvement - 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
Scope & Impact - Contributes directly to AI application and analytics delivery used across business operations
- Expands team throughput on AI applications, dashboards, and insight distribution
- Operates under the technical direction of the AI & Analytics Engineer II and Senior Director of AI, Data, & Enterprise Applications
Success Metrics - Volume and quality of analytics and AI deliverables completed
- Reliability and performance of owned pipelines and reports
- Reduction in backlog for analytics and AI requests
- Growth in technical proficiency over the first 12-18 months
- Stakeholder satisfaction with delivered solutions
Target Compensation: 125k - 135k
The salary/rate range listed here has been provided to comply with local regulations and represents a potential base salary/rate for this role. Please note that actual salaries/rates may vary within this range above or below, depending on experience and location. We look at compensation for each individual and based on experience and qualifications.
QualificationsQualifications Experience - 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
Technical & Functional Expertise - 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
Competencies - Strong analytical and problem-solving skills with attention to detail
- Willingness to learn from senior engineers and apply feedback quickly
- Effective written and verbal communication with technical and non-technical partners
- Ability to manage multiple concurrent tasks and meet committed delivery dates
- Healthcare or pediatrics domain interest is a plus
Compensation: Role Dependent
The salary/rate range listed here has been provided to comply with local regulations and represents a potential base salary/rate for this role. Please note that actual salaries/rates may vary within this range above or below, depending on experience and location. We look at compensation for each individual and based on experience and qualifications.
