AI Solutions Engineer — Frontline AI Builder for Automation

Texas Dow Employees Credit Union; Lake Jackson (TX); On-site; USD 120,000 - 170,000; Full time

Job summary

Texas Dow Employees Credit Union is seeking an AI Solutions Engineer to embed with business teams and rapidly deliver AI-powered automation prototypes. The role requires hands-on Python, SQL, API integration, and cloud experience in a fast-paced financial services environment.

You will rotate across domains, ensure production readiness, and collaborate with platform engineering to scale solutions while maintaining governance and security standards.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Science, Artificial Intelligence, or related field or equivalent experience.
• AI & Cloud Certifications preferred: Microsoft AI Engineer, Azure AI Fundamentals, Google AI, OpenAI certs.
• Portfolio of AI work or side projects demonstrating AI-driven solutions.

Responsibilities

• Embed with business units to own relationships and drive AI deployments.
• Discover and qualify high-value AI use cases and feed into intake pipeline.
• Rapidly prototype working AI-powered prototypes with real data.
• Ship first working version and drive adoption in daily ops.
• Verify AI outputs; ensure accuracy and compliance for regulated finance.
• Build to production standards: security, reliability, and documentation.
• Hand off solutions with training and support plans.
• Reuse and extend platform for faster future deployments.
• Stay ahead of AI releases and evaluate new models/tools.
• Communicate progress and risks clearly to stakeholders.
• Uphold AI governance and data privacy policies.

Skills

AI coding agents

Python & SQL

REST APIs

Cloud security

Business communication

Data reconciliation

Education

Bachelor’s degree in CS/related field

Tools

Claude Code

Cursor

GitHub Copilot

Azure

AWS

Google Cloud

Power Platform

Kestra

UiPath

Job description

Texas Dow Employees Credit Union is seeking an AI Solutions Engineer to embed with business teams and rapidly deliver AI-powered automation prototypes. The role requires hands-on Python, SQL, API integration, and cloud experience in a fast-paced financial services environment.

You will rotate across domains, ensure production readiness, and collaborate with platform engineering to scale solutions while maintaining governance and security standards.