AI Engineer (Data Scientist)

Zions Bancorporation • Midvale, UT

1d • Onsite

About The Position

Zions Bancorporation’s Enterprise Technology and Operations (ETO) team is transforming what it means to work for a financial institution. With a commitment to technology and innovation, we have been providing our community, clients and colleagues the best experience possible for over 150 years. Help us transform our workforce of the future, today. We are looking for an AI Engineer to design, build, and deploy production grade AI solutions. This is an engineering first role focused on applying Generative AI, machine learning, and good software practices to build scalable and reliable AI services. This AI Engineer will work closely with product, data, and platform teams, as well as business stakeholders, to deliver end-to-end AI solutions—from development and deployment through monitoring and continuous improvement.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical field plus 2+ years of relatable experience.
• A combination of education and experience may meet qualifications.
• Strong software engineering background with experience contributing to production systems.
• Excellent Python programming skills, including experience with async programming and API development (FastAPI, Flask, or similar).
• Hands‑on experience building Generative AI / LLM‑based applications in production environments.
• Familiarity with LLM orchestration and agentic AI frameworks (e.g., LangChain, LangGraph, or similar concepts).
• Familiarity with ML frameworks such as PyTorch/scikit‑learn.
• Experience integrating vector databases and search/index systems for AI applications.
• Good understanding of prompt engineering, model evaluation, and inference optimization.
• Experience deploying AI/ML solutions on cloud platforms (GCP preferred; Azure or AWS).
• Working knowledge of MLOps practices, including CI/CD pipelines, monitoring, and lifecycle management.
• Strong problem solving skills and the ability to communicate clearly with both technical and nontechnical stakeholders.
• Comfortable working in a collaborative, fast-moving environment and owning deliverables end-to-end.

Nice To Haves

• Master’s degree is a plus.
• Experience building agentic workflows, tool calling systems, or multiagent architectures is a plus.
• Experience with containerization and orchestration technologies (Docker, Kubernetes) is a plus.

Responsibilities

• Design, build, and deploy AI solutions, including Generative AI and machine learning models, to solve real business problems.
• Develop agentic AI systems using LLM orchestration frameworks (e.g., LangChain, LangGraph, or similar).
• Develop and maintain production-ready AI services and components with attention to performance, reliability, and maintainability.
• Collaborate with Data Scientists, product teams, and business stakeholders to translate requirements into scalable AI and ML solutions.
• Build and maintain AI/ML pipelines covering data ingestion, prompt engineering, model inference, evaluation, and monitoring.
• Implement and follow MLOps best practices, including CI/CD, versioning, observability, and model and prompt lifecycle management.
• Work with both structured and unstructured data, including integration with relational databases and vector databases for retrieval augmented generation (RAG).
• Communicate effectively with both technical and non-technical stakeholders, including senior leadership.

Benefits

• Medical, Dental and Vision Insurance - START DAY ONE!
• Life and Disability Insurance, Paid Parental Leave and Adoption Assistance
• Health Savings (HSA), Flexible Spending (FSA) and dependent care accounts
• Paid Training, Paid Time Off (PTO) and 11 Paid Federal Holidays
• 401(k) plan with company match, Profit Sharing, competitive compensation in line with work experience
• Mental health benefits including coaching and therapy sessions
• Tuition Reimbursement for qualifying employees
• Employee Ambassador preferred banking products

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level