AI Solutions Engineer

Position Summary

Position Summary:

The AI Solutions Engineer is a forward-deployed role: you embed directly with TDECU business teams such as Card Operations, Fraud, Lending, and the Contact Center to discover high-value automation opportunities and turn them into working AI-powered solutions, fast. This is a builder role at the front line: you sit with the business, learn their processes firsthand, and ship a working first version in weeks, not quarters, using AI-native development tools (AI coding agents such as Claude Code and Git Hub Copilot), Azure AI services, Python, and APIs.

The ideal candidate is an AI-native builder: someone who uses AI agents as their primary way of building software, keeps up with model and tooling releases as they happen, and experiments with new AI capabilities on their own time. They are technically sound, with enough depth in Python, SQL, and APIs to verify, debug, and harden what AI produces, and they are equally comfortable in a room of business stakeholders, translating a messy process description into a working prototype and demoing it back.

Solutions built by the AI Solutions Engineer graduate through a production-acceptance process to the team's platform engineering function for long-term operation; the engineer then rotates to the next business deployment. The role offers unusual breadth: every few weeks brings a new business domain, a new problem, and a new build, backed by an established platform (orchestration, cloud deployment patterns, shared knowledge base) that makes each deployment faster than the last.

• 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.

Education:

Bachelor’s degree in Computer Science, Information Systems, Data Science, Artificial Intelligence, or a related field OR equivalent combination of education and work experience.

Certifications (Preferred but Not Required): AI & Cloud Certifications (Microsoft AI Engineer, Azure AI Fundamentals, Google AI, OpenAI certifications, etc.) Automation & Orchestration Platforms (Power Platform, Kestra, UiPath, or similar) Programming & Data Certifications (Python, SQL, Cloud Development, etc.).

Proof of AI…