Join the transformative team at City of Hope, where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. City of Hope's growing national system includes its Los Angeles campus, a network of clinical care locations across Southern California, a new cancer center in Orange County, California, andtreatment facilitiesin Atlanta, Chicago and Phoenix. our dedicated and compassionate employees are driven by a common mission: To deliver the cures of tomorrow to the people who need them today. ** This is a Fully Remote Opportunity within the United States** The AI Automation Developer builds and supports technical solutions to automate and enhance workflows across clinical, research, and business functions at City of Hope. The developer partners directly with functional SMEs to map current-state processes, identify automation opportunities, and co-design AI-first reinventions that transform how the work gets done. The developer will have an agile, problem-solving mentality and will use automation and AI platforms to deliver secure and reliable solutions. The AI Automation Developer consults with business stakeholders to design AI solutions across a variety of platforms, engages other data and engineering resources as needed, and applies strong technical skills to solve system and data integration challenges. The ideal candidate will be ready to learn and enhance their skills across our core platform ecosystems and adapt the rapidly evolving technology landscape. This role is at the forefront of new workflow transformation initiatives at City of Hope. As a successful candidate, you will: Duties & 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.
Qualifications
Your qualifications should include: Minimum Education:
Minimum Experience:
3+ years of experience in process automation, software engineering, data science, or related roles. Knowledge of the Microsoft ecosystem, especially AI and automation platforms such as Power Automate, Azure AI Foundry, Copilot Studio, and Document Intelligence. Experience with AI development tools such as Claude, Cursor, Codex, or similar platforms, as well as experience building custom agents. Knowledge of agent architectures, skills, tools, evaluation harnesses, and related AI development concepts. Programming experience with scripting languages such as Python, Bash, PowerShell, C++, or similar languages. Experience with data integration and API standards, including REST, authentication, and secret/key vault management. Cloud experience, with Azure preferred, and familiarity with DevOps practices. Experience working within enterprise governance processes, including change management, security reviews, and access controls.
Preferred Qualifications:
Master's degree preferred. Experience working with EHR/EMR systems such as Epic or 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 such as HL7 and FHIR. Experience with Python LLM frameworks such as LangChain, LangGraph, or similar tools. Some experience with business process mapping and RPA software.
City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE.
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