Google Cloud Platform AI Integration Engineer with API and Python

Bank

Must work within footprint- within below locations:

Locations within footprint:

• Ohio - Akron, Cincinnati, Cincinnati, Cleveland, *Columbus (HQ)
• North Carolina - Charlotte
• Illinois - Chicago
• Texas – Dallas, Houston, Fort Worth, Austin
• Georgia – Atlanta
• Tennessee - Nashville
• Florida – Orlando, Tampa
• Michigan - Detroit, Flint, Midland, Bloomfield Hills 
• Minnesota - Minnetonka
• Pennsylvania - Pittsburgh
• Iowa - Waterloo

Will work 3 days a week onsite- may be flexible for the right candidate

Contract to hire

Must work on W2

No C2C

No Sponsorship

AI Engineer

MUST HAVE

AI

Google Cloud Platform

Python

API

Integration

Will be eliminating manual processes and buidling out API and Integrations with Google Cloud Platform

Supporting Commercial Ops Team effort -Build a scalable AI support model, transition Participant Notice to Commercial IT, and deliver Google Cloud Platform agents ready for production in Q4.

Senior AI Engineer-

This role focuses on hands-on development of integrations, connectivity, prompt engineering, and event-driven flows, with solutions deployed on Google Cloud Platform. It also includes establishing a scalable support model and rapidly translating ideas into reusable solutions in a fast-paced, regulated environment.

The role involves building and maintaining AI agents, leveraging prompt engineering, and collaborating with governance, innovation, architecture, and cloud teams to deliver secure, compliant, and scalable solutions.

Key Skills

• Prompt Engineering & AI Model Integration
• Agentic AI development and testing
• API Development & Integration
• Cloud Engineering (Google Cloud Platform – Cloud Run), Azure, AWS
• Event-driven architecture (Pub/Sub)
• CI/CD pipelines
• Experience in Java, Python, or JavaScript

Key Responsibilities

• Build AI-enabled applications, APIs, and automation solutions end-to-end
• Develop agent workflows, prompt patterns, and evaluation frameworks
• Create prototypes and reusable components
• Design scalable backend services, APIs, and integrations
• Implement event-driven solutions and CI/CD pipelines
• Integrate with enterprise systems and ensure secure coding practices
• Collaborate to deliver high-quality innovation solutions

Basic Qualifications

• Bachelor''s degree in a technical field
• 8–12 years of software engineering experience

Preferred Qualifications

• Strong full-stack development (API, backend, UI)
• Experience building AI-enabled applications
• Experience with Google Cloud Platform (Vertex AI, Cloud Run) or similar platforms
• Experience with Kubernetes, cloud deployments, and DevOps
• Ability to work independently in fast-paced environments
• Strong communication skills