[Remote] AI & Analytics Engineer
Note: The job is a remote job and is open to candidates in USA. PM Pediatric Care is a company that focuses on delivering AI-powered applications and analytics solutions. The AI & Analytics Engineer I role involves supporting the design and delivery of AI applications, data pipelines, and analytics solutions to enhance operational efficiency and decision-making within the organization.
Responsibilities
- 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
- 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
Skills
- 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
- 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
- Comfort working with both structured and unstructured data
- 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
- Exposure to AI, machine learning, or workflow automation projects (academic or professional)
- Exposure to cloud platforms (Azure preferred) and AI/ML services a plus
- Healthcare or pediatrics domain interest is a plus
Company Overview