AI Engineer (Data Scientist)

The AI Engineer (Data Scientist) role at Zions Bancorporation focuses on designing, building, and deploying production-grade AI solutions. The position works end-to-end, supporting development, deployment, monitoring, and continuous improvement while applying Generative AI, machine learning, and established software engineering practices.

Responsibilities

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

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical field, plus 2+ years of relatable experience.
• Master’s degree is a plus.
• Strong software engineering background with experience contributing to production systems.
• Strong Python 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 and scikit-learn.
• Experience integrating vector databases and search/index systems for AI applications.
• 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 clear communication with both technical and non-technical stakeholders.
• Ability to work in a collaborative, fast-moving environment and own deliverables end-to-end.
• Experience building agentic workflows, tool calling systems, or multiagent architectures is a plus.
• Experience with containerization and orchestration technologies (Docker, Kubernetes) is a plus.

Technologies

• Python, FastAPI, Flask
• LangChain, LangGraph
• PyTorch, scikit-learn
• GCP, Azure, AWS
• CI/CD
• Docker, Kubernetes

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

Location and Work Arrangement

This position is fully in office (5 days a week) at the Zions Technology Center, 7860 South Bingham Junction Blvd, Midvale, UT 84047.

Zions Technology Center

• 400,000-square-foot technology campus in Midvale, Utah
• Electric vehicle charging stations and close proximity to Historic Gardner Village UTA TRAX station
• At least 75% of the building is powered by on-site renewable solar energy
• Access to outdoor recreation, parks, trails, shareable bikes and locker rooms
• Large modern cafe with a healthy and diverse menu
• Healthy indoor environment with ample natural light and fresh air
• LEED-certified sustainable building using low VOC-emitting construction materials