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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer (Data Scientist) - **Company:** Zions Bank - **Location:** Midvale, UT, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Computer Programming, Continuous Integration, Relational Databases, Python (Programming Language), Machine Learning, Inference Optimization, Tensorflow, Software Engineering, Systems Integration, Unstructured Data, Management of Software Versions, Data Ingestion, Pytorch, Flask (Web Framework), Large Language Models, Prompt Engineering, Model Validation, Generative AI, Agentic-AI, Fastapi, AI Platforms, Kubernetes, Information Technology, Machine Learning Operations, Api Design, Model Inference, Docker - **Published:** October 2, 2026 - **Apply:** https://www.careerjet.com/job/usf76b6fbdac81b2dc51db116b53f24b1e/eaa ## About the Role * 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. ## 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. ## Related Videos - [Building AI Applications with LangChain and Node.js](https://www.wearedevelopers.com/videos/1512-building-ai-applications-with-langchain-and-node-js) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Build your backend using FastAPI](https://www.wearedevelopers.com/videos/506-build-your-backend-using-fastapi) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)