AI Automation Developer II
Listed on 2026-10-12
-
Software Development
Python, Data Engineering, AI Engineer (Applied/Software)
To be part of our organization, every employee should understand and share in the YNHHS Vision, support our Mission, and live our Values. These values - integrity, patient-centered, respect, accountability, and compassion - must guide what we do, as individuals and professionals, every day.
Support the design, development, and deployment of automation solutions for healthcare operations. Build Python-based services and workflow automations that improve clinical, operational, and financial processes, including integration with enterprise and EHR/EMR systems. Apply technical expertise in automation development, healthcare IT/interoperability, and agile delivery to provide scalable, secure, and reliable digital workflows under the guidance of the Automation Architect.
EEO/AA/Disability/Veteran
Responsibilities- 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.
EXPERIENCE- 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…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).