AI Automation Developer II

Work on automation solutions that improve healthcare operations by building and deploying workflow services, integrations, and data pipelines.

Responsibilities

• Partner with the Automation Architect and cross-functional stakeholders (clinical operations, finance, IT, analytics) to conduct discovery, convert requirements into technical workflows, and prioritize high-ROI automation opportunities.
• Design, develop, and maintain Python scripts, services, and tools for automating clinical and operational workflows (revenue cycle, scheduling, reporting, user provisioning) with robust exception handling, logging, and retries.
• Implement automation solutions using Automation Anywhere when appropriate and custom-built platforms such as Django/YDA and Playwright, including workflow orchestration, queues, schedulers, and asynchronous processing.
• Build and maintain scalable automation frameworks using best-of-breed tools and patterns (for example Django Admin, Playwright, CouchDB, and REST APIs) to support maintainability, testability, and reuse.
• Develop and support EHR/EMR integrations and interoperability workflows (for example Epic) using API-based integrations and HL7 v2 / FHIR interfaces, including message ingest, mapping, validation, and routing.
• Build and support ETL and data pipelines between clinical systems, data platforms/warehouses, and downstream applications; ensure data quality, lineage, and dependable 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 control evidence.
• Support internal users, including training on new automated workflows and assisting with adoption and change management; participate in proof-of-concept and pilot programs, measure outcomes (time saved, error reduction, operational impact), and iterate.
• Create and maintain technical documentation (technical specs, flow diagrams, runbooks, SOPs) and help develop operational procedures and support readiness; seek mentorship and guidance from the Automation Architect and senior engineers and continuously improve engineering practices.

Requirements

• 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 three (3) years hands-on experience in software engineering, workflow automation, or digital transformation, ideally in healthcare or another regulated industry.
• Proven success delivering production automations end-to-end (design, build, deploy, monitor, and optimize), including Python-based services/scripts and/or RPA-style workflows with exception handling, logging, retries, and operational support.
• Experience integrating with enterprise systems and EHR/EMR workflows (for example Epic) using vendor APIs and/or healthcare interoperability standards (HL7 v2, FHIR), plus experience building ETL/data pipelines between operational systems and downstream data platforms.
• Strong collaboration skills with cross-functional teams; ability to lead or contribute to proof-of-concept efforts while meeting privacy and security standards (for example HIPAA). Exceptional candidates with significant relevant internship experience may also be considered.
• Ability to develop and implement automation solutions across the software development lifecycle in regulated, large-scale environments.
• Python and SQL skills; familiarity with RESTful APIs, microservices, and event-driven architecture; 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 (for example Epic) is highly desirable.
• Experience 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.

Technologies

• Python
• Automation Anywhere
• Django
• YDA
• Playwright
• Django Admin
• CouchDB
• REST APIs
• EHR/EMR
• Epic
• HL7 v2
• FHIR
• ETL
• SQL
• CI/CD
• Git
• Docker
• Kubernetes
• Microservices
• Event-driven architecture
• Queues
• Schedulers
• Asynchronous jobs
• Observability
• Containers

Certifications & Licensure

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

On-Call / Physical Demand

• On-call: Participate in a scheduled on-call rotation for production automations and integrations, including nights/weekends/holidays as scheduled; respond based on department SLOs and incident severity.
• Go-live support: Provide hyper care during planned cutovers and release windows, which may require after-hours and extended shifts, occasional onsite presence, and coordination of command-center/war-room activities, back-out readiness, and post-go-live stabilization.

Location & Experience

• Location: Stratford, CT (onsite)
• Minimum experience: 3 years