AI Engineer, Data Science Team- Boise, ID

Summary

This valued team member would design and develop technical solutions for multiple lines of business, regionally and internationally, using new and exciting technologies. In this role, you would design, code, test and implement complex AI solutions leveraging emerging agentic architectures, with the freedom to challenge the status quo. An ideal candidate is comfortable providing technical expertise, leadership, and guidance to help drive the future of technology at Simplot.

We are looking for an individual who:

• Values collaboration with like-minded teammates
• Enjoys tackling challenging, complex problems using both new and existing technologies
• Exudes a desire to continuously learn, grow, contribute to a learning culture, and help educate all members of the team
• Possesses an agile mindset
• Appreciates the stability of a global family-owned enterprise
• Aspires to be part of something bigger than themselves and to contribute to feeding the world
• Seeks a positive work/life balance
• Has a passion for people

Key Responsibilities

• Design, develop, and implement AI-enabled solutions that solve practical business problems across Simplot’s global lines of business
• Build and integrate generative AI applications, including large language model solutions, retrieval-augmented generation patterns, intelligent agents, and automation workflows
• Collaborate with data scientists, data engineers, product owners, business stakeholders, and vendors to translate business needs into scalable, secure, and maintainable AI solutions
• Evaluate, test, and monitor AI systems for accuracy, reliability, performance, safety, and business value, using clear success metrics and continuous feedback loops
• Deploy and support AI solutions in production environments using modern engineering practices, including Iac, CI/CD, observability, version control, and cloud-native architecture
• Apply responsible AI practices, including data privacy, security, transparency, human oversight, and appropriate guardrails for enterprise use cases
• Share knowledge, patterns, and reusable components with supporting teams to grow AI engineering capability and accelerate adoption across the organization
• Contribute to the collective knowledge of the team by capturing patterns, decisions, infrastructure, prompts, evaluations, and reusable practices in version-controlled, discoverable assets

Relevant Experience

• Bachelor’s degree in CS or a relevant engineering discipline preferred
• Strong experience with Git
• Strong understanding of object-oriented principles. We primarily leverage C# and Python for back-end development, but are open to candidates having object-oriented expertise in other languages such as Go, Java, TypeScript, etc.
• Strong understanding of common software design patterns and software development best practices
• Experience with Azure, Open ID Connect, and Entra ID a plus
• Understanding of cloud-native development in a hybrid enterprise ecosystem, including public cloud, on-premises platforms, containerized workloads, DevOps practices, CI/CD, and infrastructure as code is a plus
• Experience developing agentic AI solutions and understanding emerging agent interoperability and context protocols such as MCP, A2A, and ACP
• Hands-on experience designing and delivering LLM-powered solutions using modern AI solution architecture patterns, including prompt engineering, retrieval-augmented generation, orchestration frameworks, evaluation strategies, and secure enterprise integration