AI Engineer – Innovation Lab

Join Zions Bancorporation, N.A. as an AI Engineer in the Innovation Lab located in Cushing, Salt Lake County, US. This role focuses on building cutting‑edge AI solutions to modernize financial services.

Key Responsibilities

• Design, develop, and deploy machine‑learning models and AI pipelines that support banking operations and client experiences.
• Collaborate with data scientists, software engineers, and business stakeholders to translate business problems into scalable AI solutions.
• Maintain and improve existing AI services, ensuring performance, reliability, and security in a regulated environment.
• Research emerging AI technologies and recommend adoption strategies for the Innovation Lab.
• Document code, processes, and model performance metrics for auditability and knowledge sharing.

Required Qualifications

• Bachelor’s or higher in Computer Science, Engineering, Data Science, or a related field.
• 3+ years of professional experience developing AI/ML solutions in Python, Java, or C++.
• Hands‑on experience with frameworks such as TensorFlow, PyTorch, or Scikit‑learn.
• Proficiency in cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
• Strong understanding of data engineering concepts, APIs, and version control (Git).

Preferred Skills

• Experience in the financial services industry or with fintech applications.
• Knowledge of NLP, computer vision, or reinforcement learning techniques.
• Familiarity with MLOps tools (MLflow, Kubeflow, CI/CD pipelines).
• Excellent communication and teamwork abilities.

Compensation

Salary: $163,177.06 per year (fixed).

Frequently Asked Questions

What type of projects will I work on as an AI Engineer in the Innovation Lab?

You will create and deploy machine‑learning models that improve banking processes, enhance client experiences, and explore emerging AI technologies for future services.

Is prior experience in financial services required?

While not mandatory, experience in fintech or financial institutions is preferred and helps you understand regulatory and data‑security requirements.

What technologies and tools are essential for this role?

Proficiency in Python or Java, AI frameworks like TensorFlow or PyTorch, cloud platforms (AWS/Azure/GCP), Docker/Kubernetes, and version control (Git) are essential.