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Job Description
AI Engineer (Data Scientist) Zions Bancorporation - 3.5 Midvale, UT Job Details 2 hours ago Benefits Profit sharing Paid training Paid parental leave Paid holidays Disability insurance Health insurance Dental insurance Flexible spending account Tuition reimbursement Paid time off Adoption assistance Parental leave Vision insurance 401(k) matching Qualifications AI models Containerization systems Performance monitoring Search engines Software engineering Data Integration (Data management) Azure Computer Science Continuous Delivery (CD) implementation Performance optimization PyTorch Software deployment Generative models Mid-level AI platforms (beyond public GPTs) Scalable systems Computational framework Prompt engineering Master's degree Maintaining data pipelines Machine learning cloud services Collaboration with product development teams AWS Machine intelligence Bachelor's degree in engineering Continuous improvement Model deployment Indexing strategies Developing large-scale AI models Implementing APIs Full Job Description We are looking for an AI Engineer (Data Scientist) 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.
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.
Qualifications:
Bachelor's degree in Computer Science, Engineering, or a related technical field plus 2+ years of relatable experience. Master's degree is a plus. 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. Experience building agentic workflows, tool calling systems, or multiagent architectures is a plus. Experience with containerization and orchestration technologies (Docker, Kubernetes) is a plus.
Location:
This position is fully in office (5 days a week) at the Zions Technology Center - 7860 South Bingham Junction Blvd, Midvale, UT 84047 The Zions Technology Center is a 400,000-square-foot technology campus in Midvale, Utah. Located on the former Sharon Steel Mill superfund site, the sustainably built campus is the company's primary technology and operations center. This modern and environmentally friendly technology center enables Zions to compete for the best technology talent in the state while providing team members with an exceptional work environment with features such as: 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 that features include the use of low VOC-emitting construction materials.
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 Apply now if you have a passion for impactful outcomes, enjoy working collaboratively with co-workers, and want to make a difference for the clients and communities we serve.
