Associate AI Solutions Developer

Executive Office

Manager, Data Science

Union Code
Management
Building Services 32BJ Benefit Funds (“the Funds”) is the umbrella organization responsible for administering Health, Pension, Retirement Savings, Training, and Legal Services benefits to over 185,000 SEIU 32BJ members. Our mission is to make significant contributions to the lives of our members by providing high quality benefits and services. The Funds oversees and manages $11 billion of dollars in assets, which are made up of many, varied and complex funds. The dollars come from a number of sources, including the property owners who pay into the funds on behalf of their employees, and as such, requires those who oversee and manage the money to be highly skilled financial management people.
32BJ Benefit Funds will continue to drive innovation, equity, and technology insights to further help the lives of our hard-working members and their families. We use cutting edge technology such as: M365, Dynamics 365 CRM, Dynamics 365 F&O, Azure, AWS, SQL, Snowflake, QlikView, and more.
Please take a moment to watch our video to learn more about our culture and contributions to our members: youtu.Under the direction of the Manager, Data Science, we’re looking for an early-career

Associate AI Solutions Developer

with practical experience in software, data, or automation. In this role, you will use Python and existing AI and data platforms to build, test, and improve applications and workflows, which may include classical Machine Learning and Large Language Models. The work will also involve using AI coding assistants to explore code, draft or refine changes, configure coding agents or subagents, and create tests. You will review and validate AI-generated work and understand the code you submit. This role applies existing AI capabilities; it does not involve training or developing AI models from scratch.
Your responsibilities will include owning agreed assignments from clarification through implementation, testing, and documentation, with support from your supervisor and experienced teammates. Your supervisor will help set priorities, review your approach, and provide coaching through formal weekly check-ins, brief daily discussions to share progress and resolve blockers, and hands-on training. Depending on the project, you may use Python, Visual Studio Code, PyCharm, GitHub, Databricks and its AI Gateway capabilities, Microsoft Fabric, Microsoft Foundry, and related enterprise data and AI platforms. AI coding assistants may include GitHub Copilot, Claude Code, Genie Code, or Codex. the team will provide training and support.

Take responsibility for completing agreed assignments through implementation, testing, and documentation, incorporating feedback from your supervisor and teammates.

~ Build and improve small applications, agents, and AI-assisted workflows that support clearer member experiences or more efficient internal operations.

~ Write and debug Python scripts or application features that process data, automate tasks, or connect approved data sources, APIs, models, and business tools.

~ Use approved AI coding assistants to support development tasks, such as understanding a codebase, drafting or refining code, configuring coding agents or subagents, and creating or updating tests. Use GitHub, Azure DevOps and follow team practices for version control, testing, documentation, and code review. Work with data scientists, data engineers, business partners, IT, and security colleagues to understand data sources, operational needs, and privacy and security requirements.

~ 1-3 years of professional experience in software development, data, analytics, automation, or a related technical field. Candidates with less professional experience may be considered if internships, fellowships, or substantial projects demonstrate the capabilities below

~ Experience writing and debugging Python scripts or small application features that process data, automate tasks, or connect systems. You should be able to explain how the code works, how you investigated problems, and how you verified the results, including contributions developed with AI assistance.

~ Experience completing a technical project or assignment that solved a practical problem. Hands-on experience using AI tools in software development through work, an internship, coursework, or a personal project. Examples include using an AI coding assistant to understand, write, refine, or test code. Familiarity with structured data, such as CSV files or JSON, and experience using basic SQL or Python to inspect and organize data.

~ Ability to explain technical work clearly, clarify requirements, share progress, incorporate feedback, and recognize when to seek help.

~ Experience connecting applications or workflows to APIs, data sources, or business tools.
Exposure to automated testing or collaborative code review.
Experience with Databricks, Microsoft Fabric, Microsoft Foundry, or a similar enterprise data or AI platform.
Experience configuring an AI agent, coding agent, subagent, or workflow.
Experience working with regulated or sensitive data including but not limited to insurance and financial domains.

Curiosity about emerging AI technologies and a preference for testing assumptions through hands-on experimentation rather than theoretical assessment.

~ Ability to collaborate effectively across data science, engineering, IT, security, and governance teams, incorporating their requirements early in the development process.

~ Attention to detail and follow-through in maintaining versioned, documented, and reproducible work.

Bachelor’s degree in Computer Science, Data Science, Engineering, or a related STEM field, or comparable practical experience through education, internships, projects, or work experience.
Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.