Location: Remote (Must reside in an approved state - see below)
Employment Type: Full-Time
Compensation:
Standard Rate: $72.50/hr ($151,500 annualized)
Geo-Differential Rate (10%): $79.75/hr ($161,650 annualized)
Applies to: AK, CO, DC, HI, IL, MD, MN, OR, VA, WA
Approved Hiring States: AZ, AK, AR, CO, DC, FL, HI, IA, ID, IL, KS, LA, MD, MN, MO, MT, NE, NV, NM, NC, ND, OK, OR, SC, SD, TN, TX, UT, VA, WA, WI, WY.
We are seeking a seasoned Senior Automation Engineer to lead the rapid delivery of high-impact automation solutions within a healthcare payer environment. In this role, you will act as the Lead Developer and Automation Solution Architect, analyzing complex business workflows across Clinical, Enrollment, Provider, and IT operations. You will own the assessment phase to identify high-ROI opportunities and prioritize modern Generative AI approaches over legacy RPA methods to reduce maintenance overhead and build scalable, autonomous processes.
Process Mining & Discovery: Lead workshops with stakeholders to map workflows. Identify manual, repetitive tasks and quantify potential time savings and ROI for automation initiatives.
Solution Architecture: Design end-to-end workflows integrating modern cloud applications (e.g., SharePoint) with healthcare-specific data systems and big data platforms (e.g., Databricks).
Generative AI Implementation: Leverage AI tools (e.g., Gemini, Claude) to replace complex rule-based scraping with intelligent parsing. Use LLMs to summarize clinical notes or extract data from unstructured provider communications.
Advanced Development: Build complex automations using Power Automate Desktop and Cloud Flows. Manage advanced logic, error handling, and exception management using modern AI connectors.
Governance & Mentorship: Establish coding standards and "Secure by Design" principles for the automation team. Provide technical guidance and perform code reviews for junior engineering staff.
Integration Strategy: Develop custom connectors or scripts using PowerShell, Python, or JSON to bridge gaps where native out-of-the-box connectors do not exist.
Education: Bachelor’s degree in Computer Science or a related technical field.
General Experience: 8+ years in Software Development or Data Engineering with a strong emphasis on ETL.
Power Platform Expertise: 5+ years of expert-level proficiency in Microsoft Power Platform (Cloud and Desktop flows).
Data & Integration: 5+ years of experience with SQL/NoSQL environments and complex API integrations (REST/SOAP) within a healthcare context.
AI & Unstructured Data: Proven success processing large volumes of unstructured medical data using OCR, NLP, and Document AI. Demonstrated ability to use GenAI APIs to structure data.
Operational Leadership: Experience managing bot deployment in virtualized environments and ensuring 24/7 operational stability.
Domain Expertise: Proven experience automating workflows in a Healthcare Payer setting (e.g., Enrollment, Provider Credentialing, or Clinical Prior Authorization).
Full Stack Capability: Ability to move seamlessly between low-code environments and pro-code development (Python/C#) as needed.
Data Fluency: Deep understanding of ETL pipelines and the transformation of unstructured data into vectorized formats.
Legacy System Navigation: Specialized knowledge in extracting and injecting data into legacy applications that lack native API support.
Performance Tuning: Expertise in optimizing script execution to minimize latency and resource consumption.