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About the Role
Under the direction of the Manager, Data Science, this early-career Associate AI Solutions Developer will use Python and existing AI and data platforms to build, test, and improve applications and workflows, potentially including classical Machine Learning and Large Language Models. The role involves using AI coding assistants to explore code, draft or refine changes, configure coding agents or subagents, and create tests, while reviewing and validating AI-generated work. This position applies existing AI capabilities and does not involve training or developing AI models from scratch.
Responsibilities
- Own agreed assignments from clarification through implementation, testing, and documentation, with support from supervisor and experienced teammates.
- Work with supervisor and teammates to understand business needs, agree on priorities, and define manageable assignments.
- Clarify requirements, share progress, and raise questions or blockers.
- Incorporate feedback from supervisor and teammates into completed assignments.
- Build and improve small applications, agents, and AI-assisted workflows supporting member experiences or internal operations.
- Write and debug Python scripts or application features for data processing, task automation, or connecting data sources, APIs, models, and business tools.
- Use approved AI coding assistants for development tasks like understanding code, drafting/refining code, configuring agents, and creating/updating tests.
- Review and validate AI suggestions before use.
- Build and test prototypes and updates to existing solutions.
- Review approach with supervisor and seek guidance for changes affecting system design, security, or production use.
- Test workflows with representative questions and tasks, recording usefulness, accuracy, consistency, and timeliness.
- Investigate failures and implement improvements within assigned scope.
- Use GitHub, Azure DevOps, and team practices for version control, testing, documentation, and code review.
- Support experienced teammates as changes are prepared for use and monitored.
- Collaborate with data scientists, data engineers, business partners, IT, and security colleagues to understand data sources, operational needs, and privacy/security requirements.
- Explore relevant tools and capabilities and share practical findings and suggestions with the team.
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 capabilities.
- Experience writing and debugging Python scripts or small application features that process data, automate tasks, or connect systems.
- Ability to explain how Python code works, how problems were investigated, and how results were verified, including AI-assisted contributions.
- Experience completing a technical project or assignment that solved a practical problem.
- Ability to describe the purpose, contribution, challenges, and testing of a completed technical project.
- Hands-on experience using AI tools in software development through work, internship, coursework, or personal project.
- Ability to explain how AI coding assistant suggestions were reviewed and accuracy checked.
- Familiarity with Git or another version-control tool.
- Familiarity with structured data (e.g., CSV, JSON).
- Experience using basic SQL or Python to inspect and organize data.
- Ability to explain technical work clearly, clarify requirements, share progress, incorporate feedback, and seek help when needed.
- Willingness to follow established procedures for handling sensitive information.
- Preferred: Experience connecting applications or workflows to APIs, data sources, or business tools.
- Preferred: Exposure to automated testing or collaborative code review.
- Preferred: Experience with Databricks, Microsoft Fabric, Microsoft Foundry, or similar enterprise data or AI platforms.
- Preferred: Experience configuring an AI agent, coding agent, subagent, or workflow.
- Preferred: Experience working with regulated or sensitive data (e.g., insurance, financial domains).
Skills
- Python
- AI coding assistants (e.g., GitHub Copilot, Claude Code, Genie Code, Codex)
- Git or other version-control tools
- Structured data (CSV, JSON)
- SQL
- Databricks
- Microsoft Fabric
- Microsoft Foundry
- Azure DevOps
Location
- Onsite
Work Type
- Full-time
Experience Level
- Early-career
- 1-3 years
Education Level
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related STEM field, or comparable practical experience
About the Company
- Building Services 32BJ Benefit Funds administers Health, Pension, Retirement Savings, Training, and Legal Services benefits to over 185,000 SEIU 32BJ members.
- The mission is to make significant contributions to members' lives by providing high-quality benefits and services.
- Core values include Flexibility, Initiative, Respect, Sustainability, and Teamwork (FIRST).
- The Funds oversee and manage $11 billion in assets.
- The organization drives innovation, equity, and technology insights.
- Utilizes cutting-edge technology including M365, Dynamics 365 CRM, Dynamics 365 F&O, Azure, AWS, SQL, Snowflake, QlikView.