Intelligent Automation Developer

About City of Hope

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, and treatment facilities in 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.

Remote Opportunity

This is a Fully Remote Opportunity within the United States.

Job Overview

The Intelligent Automation Developer builds and supports technical solutions to automate high-value manual workflows across clinical, research, and business functions at City of Hope. The developer will have an agile, problem-solving mentality and will use automation and AI platforms to deliver secure, compliant, and reliable solutions. The developer will partner with ETG product, engineering, and data science teams (as needed) to implement complete, secure solutions. This role is at the forefront of new workflow transformation initiatives at City of Hope.

Position will implement efficient solutions by leveraging enterprise automation and AI platforms, including configurable out of the box agents and broader agentic ecosystems, along with strong technical skills to address system and data integration challenges (e.g., Python scripting, APIs, SQL). Experience with LLM frameworks (LangChain, LangGraph, etc.), Azure, EHR systems, and Snowflake are valued, and the ideal candidate will be ready to learn and enhance their skills across these platforms.

Overall, this role is expected to participate in and learn new technologies as they emerge in this ever-changing environment.

Responsibilities:

• Design, develop, test, and deploy intelligent automation solutions using automation, workflow orchestration, and AI frameworks, to streamline healthcare operations (e.g., revenue cycle, supply chain, patient access, clinical administration).
• 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, or custom AI agents into workflows as required by the business case. Proactively identify opportunities for integrating existing COH AI platforms (e.g., HopeLLM).
• Contribute to automation standards, best practices, documentation, reusable components, and knowledge sharing across the automation and healthcare technology community.
• Other Duties as applied.

Qualifications:

• Bachelor’s degree in Computer Science, Information Systems, Computer Engineering, or related field; Experience may substitute in lieu of educational requirement.
• 3+ years of experience in process automation, software engineering or related roles.
• Hands-on experience designing and supporting production automation, software, and/or AI solutions in regulated environments.
• Knowledge of Microsoft AI and Automation Platforms (Power Automate, Copilot Studio, Azure AI Foundry).
• Programming experience with scripting languages (Python, Bash, PowerShell, C++, or similar languages).
• API development/consumption (REST, authentication, secret/key vault management, etc.).
• Experience with RPA and automation platforms (e.g., UiPath, Power Automate, Blue Prism, or equivalent).
• Familiarity with Generative AI capabilities and foundation models; experience with prompt engineering and basic LLM workflows.
• Cloud experience (Azure preferred) and familiarity with DevOps practices.
• Experience working within enterprise governance processes (change management, security reviews, access controls).

Preferred Qualifications:

• Master’s degree preferred.
• Healthcare, life sciences, or other highly regulated industry experience.
• Experience working with EHR/EMR systems (e.g., Epic, Cerner) or healthcare data platforms.
• Knowledge of healthcare workflows such as revenue cycle, patient access, claims, prior authorization, scheduling, or clinical operations.
• Familiarity with healthcare interoperability standards (e.g., HL7, FHIR).
• Experience applying LLM frameworks (LangChain, LangGraph), RAG systems, etc., with an emphasis on applied knowledge and rapid prototyping.
• Experience with AI governance, model validation, and responsible AI practices.
• Snowflake Agents.
• Salesforce Agent Force.
• Experience with eventing /queues in cloud platforms.
• Strong analytical and problem-solving skills.
• Ability to creatively apply a variety of tools 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.
• RPA and orchestration platforms (UiPath, Power Automate, or similar).
• Microsoft Copilot Studio.
• Cloud platforms (Azure preferred).
• AI/ML frameworks and services (e.g., Azure AI, document intelligence, Snowflake Cortex services, LLM frameworks).

Compensation and Benefits

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.

Key skills/competency

• Intelligent Automation Developer
• Process Automation
• Software Engineering
• AI Solutions
• Regulated Environments
• Microsoft AI Platforms
• Python Scripting
• API Development
• RPA Platforms
• Generative AI