AI Engineer - Generative AI & Enterprise Solutions

Zions Bancorporation

Midvale (UT)

On-site

USD 110,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Health insurance
Paid time off
401(k) plan
Tuition reimbursement

Job summary

Zions Bancorporation is seeking an AI Engineer for its Innovation Lab in Midvale, UT. You will blend software engineering with AI, building production-ready AI solutions and scalable services.

Collaborate with product managers and IT to enhance user experience, review processes, and deploy robust AI-powered applications in a finance setting. This is an in-office role requiring strong engineering practices.

Qualifications

  • 2+ years in software development and cloud-based architectures.
  • Proven Generative AI experience (prompting, fine-tuning, RAG).
  • Strong API design, CI/CD, Git and code-quality practices.
  • Proficiency Python/Java and modern frameworks.
  • Knowledge of SDLC, Agile/Scrum, SQL and data modeling.
  • Cloud experience (GCP preferred; AWS/Azure acceptable).
  • Banking/financial services experience is a plus.

Responsibilities

  • Develop AI/ML software solutions focusing on Generative AI, LLMs and RAG.
  • Design, build, and maintain RESTful APIs and microservices (Python/Java).
  • Support testing, configuration management, and Git workflows.
  • Maintain AI pipelines and infrastructure for reliability and scale.
  • Contribute to product design reviews and cross-team collaboration.
  • Participate in CI/CD, model versioning, and deployment processes.
  • Review business processes and propose AI-enabled improvements.

Skills

Generative AI
API design
CI/CD pipelines
Git
Python
Java
SDLC
Agile/Scrum
SQL
Data modeling
Cloud computing
Team collaboration

Education

Bachelor's degree in CS/CE

Tools

FastAPI/Flask
Spring Boot
WebSphere/Tomcat
Git workflows
Terraform/AWS

Job description

Zions Bancorporation is seeking an AI Engineer for its Innovation Lab in Midvale, UT. You will blend software engineering with AI, building production-ready AI solutions and scalable services.

Collaborate with product managers and IT to enhance user experience, review processes, and deploy robust AI-powered applications in a finance setting. This is an in-office role requiring strong engineering practices.

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