Applied AI Developer - BEAM

United Methodist Communities•Neptune Township, NJ

2d•$96,475 - $108,534•Hybrid

About The Position

United Methodist Communities is hiring an Applied AI Developer for BEAM. The role builds and deploys AI agents, automations, and internal tools using technologies including Microsoft 365, Copilot Studio, Claude, OpenAI, Power Automate, Azure, and large language model APIs, connecting these solutions to systems such as Outlook, Teams, SharePoint, and HR, clinical, and financial data. The developer prototypes with intended users, prepares successful solutions for production, documents them, and tracks usage, cost, and results. The developer works with leadership and staff to define requirements, including spending time on site at UMC communities, the home office, and HomeWorks. They propose approaches, timelines, and effort estimates, confirm priorities, and surface risks and improvement ideas. They test and refine solutions with staff, explain tool capabilities and data handling, and provide demonstrations, training, and quick-reference guides in partnership with BEAM’s digital literacy and adoption specialist. The position also adapts solutions for BEAM Advisors’ senior living clients and supports client AI engagements through demonstrations, prototypes, workshops, and technical implementation. All work must follow UMC’s AI governance policy, HIPAA, and information security standards. Solutions require security and privacy review before production use, and AI outputs must be tested for accuracy and failure cases. The position is full-time, hybrid, and based at the United Methodist Communities Home Office in Neptune, New Jersey. It includes regular onsite collaboration at New Jersey communities and periodic travel to client locations as business needs require. The advertised annual salary is $96,475–$108,534, based on experience.

Requirements

Bachelor’s degree in computer science, information technology, data science, engineering, or a related discipline.
At least 1 year of experience building software, automations, data tools, or AI applications through employment, internships, research, or substantial independent projects, with working examples available to demonstrate.
Ability to maintain any license, credential, or authorization required for assigned travel or client-site access.

Nice To Haves

Coursework or credentials in artificial intelligence or machine learning, health informatics, or business.
Experience building applications with large language model APIs and agent frameworks; Microsoft Power Platform, Copilot Studio, or Microsoft Graph; and Python and JavaScript or TypeScript.
Experience in healthcare, senior living, nonprofit, consulting, or another client-facing environment.
Microsoft Azure, Power Platform, or Microsoft 365 certifications, or a comparable cloud, AI, or data certification.

Responsibilities

Design, build, and deploy AI agents, automations, and internal tools using the specified platforms and APIs, connecting them to relevant workplace systems and data.
Prototype solutions with intended users, test them, prepare successful solutions for production, document them, and track usage, cost, and results.
Meet with leadership and staff to turn requests into requirements, including onsite time at UMC communities, the home office, and HomeWorks.
Propose practical approaches, timelines, and levels of effort; confirm priorities with leadership; and raise questions, risks, and improvement ideas.
Test solutions with staff before launch, refine them based on feedback, and explain how they work, their limitations, and how data is handled.
Run demonstrations, short trainings, and create quick-reference guides in partnership with BEAM’s digital literacy and adoption specialist; collect and act on feedback after launch.
Adapt proven UMC solutions for BEAM Advisors’ senior living clients, including automation packs, AI governance tools, and assessment tools.
Support BEAM advisors on client AI engagements through demonstrations, prototypes, workshops, and technical implementation; contribute to improvements in BEAM’s internal tools and platforms.
Follow UMC’s AI governance policy, HIPAA, and information security standards, and use resident, teammate, or client data only as approved.
Submit solutions for security and privacy review before production use, test AI output for accuracy and failure cases, and share lessons learned through lunch-and-learn sessions and written notes.