AI Solutions Engineer: Rapid Prototyping for Automation

tdecu; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

TDECU seeks an AI Solutions Engineer who embeds with business units to discover high-value automation opportunities and translate them into AI-powered prototypes. You’ll work on Python, SQL, APIs, and AI agents to ship first versions in weeks, not quarters.

You’ll rotate to new business domains, ensure governance and security, and hand off solutions to platform engineering as you scale the AI platform across the organization.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Science, AI, or related field.
• Experience building AI-powered software and prototypes with AI agents; production-acceptance processes.
• Proficiency in Python, SQL, and API integration.

Responsibilities

• Embed with Business Units - Deploy into a business department for a defined rotation; own the working relationship with that team and represent the AI team inside their operation.
• Discover & Qualify Use Cases - Identify and scope high-value AI and automation opportunities from inside the business; size the expected benefit and feed a prioritized intake pipeline.
• Rapidly Prototype - Turn qualified use cases into working prototypes; own the feasibility answer for each, proving or disproving it quickly with real business data.
• Ship Working v1 Solutions - Deliver the first working version of each approved solution; own its adoption, with success measured by the business using it in daily operations.
• Verify AI Output - Own the accuracy of everything delivered; validate , test, and reconcile results to the standard expected of a regulated financial institution.
• Build to Production Standards - Ensure every solution meets the team's production-acceptance standards for security, reliability, and documentation; own each solution's readiness for handoff.
• Hand Off & Support - Deliver each completed solution to its business owner with documentation, training, and a defined support path; remain accountable for the solution's performance until it is formally accepted by the business owner and platform engineering.
• Reuse & Extend the Platform - Grow the team's shared platform and knowledge base with each deployment; own the reusability of what you build so every engagement starts further ahead than the last.
• Stay Ahead of AI Releases - Own the team's awareness of new models, tools, and open-source releases; evaluate them hands-on and recommend what TDECU adopts.
• Communicate Across Levels - Own communication for your deployments; keep business owners, the AI team, and leadership informed of progress, risks, and outcomes in terms each audience understands.
• Uphold AI Governance - Own compliance for every solution you build within TDECU's AI governance, data privacy, and security policies; identify and elevate risks early

Skills

Python

SQL

APIs

Education

Bachelor's degree in Computer Science, Information Systems, Data Science, Artificial Intelligence, or related field

Tools

Azure AI services

GitHub Copilot

Claude Code

Job description

TDECU seeks an AI Solutions Engineer who embeds with business units to discover high-value automation opportunities and translate them into AI-powered prototypes. You’ll work on Python, SQL, APIs, and AI agents to ship first versions in weeks, not quarters.

You’ll rotate to new business domains, ensure governance and security, and hand off solutions to platform engineering as you scale the AI platform across the organization.