Applied AI Developer - BEAM

United Methodist Communities•Neptune, NJ

10d•Hybrid

About The Position

The Applied AI Developer designs, builds, tests, and deploys AI agents, automations, and internal tools using Microsoft 365, Copilot Studio, Claude, OpenAI, Power Automate, Azure, and large language model APIs. Solutions connect with systems such as Outlook, Teams, SharePoint, and HR, clinical, and financial data. The developer prototypes with end users, refines successful tools for production, documents solutions, and tracks usage, cost, and results. The role translates leadership requests into clear requirements by meeting with staff, including onsite at UMC communities, the home office, and HomeWorks. It proposes approaches, timelines, and levels of effort, confirms priorities, and raises questions, risks, and improvement ideas. The developer tests and refines tools with staff before launch, explains their capabilities and data handling, and supports demos, training, quick-reference guides, and post-launch feedback in partnership with BEAM’s digital literacy and adoption specialist. The developer adapts proven UMC solutions for BEAM Advisors’ senior living clients and supports client engagements through demos, prototypes, workshops, and technical implementation. The role also contributes to BEAM’s internal tools and platforms. 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. This is a full-time hybrid position based at the United Methodist Communities Home Office in Neptune, New Jersey, with regular onsite collaboration at New Jersey communities and periodic travel to client locations as business needs require. The listed salary is $96,475–$108,534 per year, 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 AI and Microsoft platforms and connect them to workplace systems and data.
Prototype tools with intended users, prepare successful solutions for production, document each solution, and track usage, cost, and results.
Meet with staff to translate leadership requests into clear requirements, including onsite visits to UMC communities, the home office, and HomeWorks.
Propose an approach, timeline, and level of effort for requests; 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.
Deliver demos, short trainings, and quick-reference guides in partnership with BEAM’s digital literacy and adoption specialist, and 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 demos, prototypes, workshops, and technical implementation, and contribute to improvements in BEAM’s internal tools and platforms.
Follow UMC’s AI governance policy, HIPAA, and information security standards; 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 through lunch-and-learn sessions and written notes.