Intelligent Automation Developer

City of Hope

1d•Remote

About The Position

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. This is a Fully Remote Opportunity within the United States. 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.

Requirements

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)
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

Nice To Haves

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

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