Note: The job is a remote job and is open to candidates in USA. City of Hope is a national healthcare system focused on treating cancer, diabetes, and other life-threatening illnesses. The AI Automation Engineer designs, develops, deploys, and supports AI-driven workflow automation across clinical, research, and business functions, integrating solutions with healthcare systems and enterprise platforms. The role also collaborates with data and engineering teams to incorporate machine learning, analytics, and custom AI agents while ensuring security, compliance, and operational reliability.
Responsibilities
- Design, develop, test, and deploy solutions to automate and enhance operational and clinical workflows (e.g., within revenue cycle, supply chain, patient access, clinical administration).; develop AI agents on within City of Hope’s core platforms
- Integrate automation solutions with EHRs, clinical systems, data platforms, and enterprise applications while ensuring secure handling of PHI/PII in compliance with HIPAA and organizational policies
- Contribute technical expertise to requirements sessions; clarify requirements; implement changes and ensure alignment with internal policies
- Monitor, support, and optimize production automations; troubleshoot issues, implement enhancements, and ensure high availability and performance
- Collaborate with Data Scientists and ML Engineers to integrate machine learning, advanced analytics, and/or custom AI agents into workflows as required by the business case. Proactively identify opportunities to utilize and integrate existing AI, data, and analytics tools (e.g., HopeLLM)
- Contribute to automation standards, best practices, documentation, reusable components, and knowledge sharing across the automation and healthcare technology community
- Follows established City of Hope and department policies, procedures, objectives, performance improvement, attendance, safety, environmental, and infection control guidelines, including adherence to the workplace code of Conduct and Compliance Plan
- Practices a high level of integrity and honesty in maintaining confidentiality
- Performs other related duties as assigned or requested
Skills
- Bachelor's degree; 3 additional years of experience plus the minimum experience requirement may substitute for minimum education
- 3+ years of experience in process automation, software engineering, data science or related roles
- Knowledge of Microsoft Ecosystem, especially AI and Automation Platforms (Power Automate, Azure AI Foundry, Copilot Studio, Document Intelligence)
- Experience with AI development tools (e.g. Claude, Cursor, Codex, etc.) as well as experience building custom agents, knowledge of agent architectures, skills, tools, evaluation harnesses etc
- Programming experience with scripting languages (Python, Bash, PowerShell, C++, or similar languages)
- Data integration and API standards (REST, authentication, secret/key vault management, etc.)
- Experience working within enterprise governance processes (change management, security reviews, access controls)
- Experience working with EHR/EMR systems (e.g., Epic, Cerner) or healthcare data platforms
- Experience with healthcare databases, data modeling, and SQL
- Knowledge of healthcare data and workflows such as revenue cycle, patient access, claims, prior authorization, scheduling, or clinical operations
- Familiarity with healthcare interoperability standards (e.g., HL7, FHIR)
- Experience with python LLM frameworks (LangChain, LangGraph, etc.)
- Some experience with business process mapping and RPA software
- Strong analytical skills
- Ability to creatively apply a diverse technology stack, including AI agents, SQL queries, and APIs to develop workflow automation solutions
- Ability to translate business/functional requirements into technical solutions
- Understanding of security, privacy, and compliance considerations in healthcare IT
- Self directed with the ability to manage multiple initiatives simultaneously
- Strong documentation and technical writing skills
- AI coding and agent development platforms (e.g. Claude, Cursor, Codex, CoPilot Studio, etc.)
- Cloud platforms (Azure preferred)
- AI/ML frameworks and services (e.g., Azure AI, Snowflake AI/Cortex)
- Master's degree preferred
- Cloud experience (Azure preferred) and familiarity with DevOps practices
Benefits
- Fully remote opportunity within the United States
Company Overview