Teams at Building Service 32BJ Benefit Funds

Designs, develops, tests, deploys, and maintains software applications, databases, reports, and APIs. Responsibilities include requirements analysis, database schema and SQL development, production support, documentation, technical research, effort estimation, and collaboration with business analysts and IT staff. The role supports multiple projects, assists other developers, and may provide after-hours support for emergencies and production releases.

Leads the configuration, deployment, operation, governance, and security of enterprise AI platforms and agentic infrastructure. Manages models, agents, prompts, skills, MCP servers, integrations, access controls, monitoring, guardrails, lifecycle management, usage, and costs. Partners with infrastructure, development, security, compliance, and data teams to support HIPAA-aligned deployments, technical risk reviews, vendor evaluations, standards, runbooks, and AI architecture initiatives. Provides operational dashboards, technical governance, and after-hours support as required.

Build, test, document, and improve Python applications, agents, and AI-assisted workflows using enterprise data and AI platforms. Process data, automate tasks, connect APIs and models, evaluate AI results, create tests, and debug solutions. Collaborate with data science, engineering, IT, security, and business teams while following version-control, privacy, documentation, and code-review practices. The role is early-career and emphasizes applying existing AI capabilities rather than training models from scratch.