AI Automation Developer II

• Collaborate with the Automation Architect and cross-functional stakeholders (clinical operations, finance, IT, analytics) to perform discovery, translate requirements into technical workflows, and prioritize high-ROI automations.
• Design, develop, and maintain Python scripts, services, and tools that automate clinical and operational workflows (revenue cycle, scheduling, reporting, user provisioning), including robust exception handling, logging, and retries.
• Develop and implement automation solutions using Automation Anywhere when appropriate and custom-built platforms (e.g., Django/YDA, Playwright), applying workflow orchestration, queues, schedulers, and asynchronous processing.
• Build and maintain scalable automation frameworks leveraging best-of-breed tools and patterns (e.g., Django Admin, Playwright, CouchDB, REST APIs), ensuring maintainability, testability, and reuse.
• Develop and support EHR/EMR integrations and interoperability workflows (e.g., Epic), including API-based integrations and HL7 v2 / FHIR interfaces; manage message ingest, mapping, validation, and routing.
• Build and support ETL/data pipelines between clinical systems, data platforms/warehouses, and downstream applications; ensure data quality, lineage, and reliable downstream consumption.
• Monitor automation executions and data pipelines; implement health checks, alerting, and observability; troubleshoot, debug, and optimize for performance, reliability, and scalability.
• Ensure compliance with HIPAA and organizational security policies, including access controls and secure data handling; support audits and regulatory reviews by providing logs, documentation, and evidence of controls.
• Provide support to internal users, including training on new automated workflows and assisting with adoption and change management. Participate in proof-of-concept initiatives and pilot programs to validate automation strategies; measure outcomes (time saved, error reduction, operational impact) and iterate.
• Create and maintain technical documentation (technical specs, flow diagrams, runbooks, SOPs) and contribute to operational procedures and support readiness. Seek mentorship and guidance from the Automation Architect and senior engineers; continuously improve engineering practices.

Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Health Informatics, Data Science/Statistics, or related field - or significant automation development experience in a healthcare production environment in lieu of a specific degree., * Minimum of three (3) years hands-on experience in software engineering, workflow automation, or digital transformation, ideally in healthcare or another regulated industry.

• Demonstrated success delivering production automations end-to-end (design, build, deploy, monitor, and optimize), including Python-based services/scripts and/or RPA-style workflows with strong exception handling, logging, retries, and operational support.
• Experience integrating with enterprise systems and EHR/EMR workflows (e.g., Epic) using vendor APIs and/or healthcare interoperability standards (HL7 v2, FHIR), and building ETL/data pipelines between operational systems and downstream data platforms.
• Strong collaboration skills with cross-functional teams and the ability to lead or contribute to proof-of-concept efforts while ensuring solutions meet privacy and security standards (e.g., HIPAA). Exceptional candidates with significant, relevant internship experience may also be considered.

LICENSURE

• Certifications preferred at the time of application: Lean Six Sigma White Belt Certified Scrum Developer (CSD)
• Certification required by the 6-month review: PCPP1 Certified Professional Python Programmer Level 1
• Additional certifications are preferred but not required. Relevant examples include Automation Anywhere, UiPath, or Blue Prism; cloud certifications (AWS/Azure/GCP); and healthcare IT/interoperability training or credentials (HL7, FHIR, HIPAA/privacy).

SPECIAL SKILLS

• Ability to develop and implement automation solutions across the software development lifecycle in regulated, large-scale environments.
• Strong Python and SQL skills; familiarity with RESTful APIs, microservices, and event-driven architecture; and experience with workflow orchestration (queues, schedulers, asynchronous jobs, retries, and observability).
• Working knowledge of healthcare data and interoperability concepts (HL7 v2, FHIR) and experience integrating automations with EHR systems (Epic) is highly desirable.
• Proficiency with CI/CD, Git-based development, testing practices, and containerization technologies (Docker; Kubernetes preferred) is a plus.
• Ability to create clear technical documentation (specs, runbooks, diagrams), support troubleshooting/root-cause analysis, and communicate effectively with non-technical stakeholders.