Associate AI Solutions Developer

Job Code
S1526EO

Department Name
Executive Office

Reports To
Manager, Data Science

FLSA Status
Exempt

Union Code
N/A

Management
No

Job Summary:

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. As your skills grow, there will be opportunities to take on broader assignments and greater responsibility.

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. You are not expected to know every tool when you start; the team will provide training and support.

Essential Duties and Responsibilities:

• Work with your supervisor and teammates to understand business needs, agree on priorities, and define manageable assignments. Clarify requirements, share progress, and raise questions or blockers.

• 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. Review and validate suggestions before using them.

• Build and test prototypes and updates to existing solutions. Review your approach with your supervisor and seek guidance and approval for changes affecting system design, security, or production use.

• Test workflows with representative questions and tasks. Record whether results are useful, accurate, consistent, and timely; investigate failures and implement improvements within your assigned scope.

• Use GitHub, Azure DevOps and follow team practices for version control, testing, documentation, and code review. Support experienced teammates as changes are prepared for use and monitored.

• Work with data scientists, data engineers, business partners, IT, and security colleagues to understand data sources, operational needs, and privacy and security requirements.

• Explore relevant tools and capabilities and share practical findings and suggestions with the team.

Qualifications (Competencies):

• 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. You should be able to describe the purpose, your contribution, the challenges you encountered, and how you tested the result.

• 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. You should be able to explain how you reviewed its suggestions and checked their accuracy.

• Familiarity with Git or another version-control tool for tracking changes and collaborating on 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.

• Willingness to follow established procedures for handling sensitive information.

• Preferred Qualifications:
  • 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.

Soft Skills (Interpersonal Skills):

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

• Willingness to report findings objectively, including results that do not support a preferred or previously proposed approach.

• Ability to clearly communicate technical findings, limitations, tradeoffs, and recommendations to technical and non-technical stakeholders.

• Comfort working with ambiguous or loosely defined problems and the ability to translate them into testable questions with measurable success criteria.

• 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.

Education:

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.

Reasoning Ability:

High

Physical Demands:
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals to perform the essential functions.

Work Environment:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.