Fieldpiece Instruments is building practical, AI-enabled solutions that improve how teams work across the organization. As a senior member of the AI engineering group, you will partner with business stakeholders to turn real workflow needs into production-ready applications, automations, and decision-support tools. This is the first dedicated AI engineering hire, supporting a hybrid schedule in Kamas, UT, with a move to Heber City, UT in 2027.
What you’ll do
- Partner with teams across Fieldpiece to understand workflows, pain points, and business needs, and identify where AI, automation, or better technology can drive meaningful impact.
- Translate business requirements from concept to solution, including designing, developing, implementing, and supporting production-ready applications and automations.
- Build AI agents, copilots, workflow automations, and decision-support tools.
- Develop solutions using large language models, retrieval-augmented generation (RAG), enterprise knowledge systems, APIs, and agentic workflows.
- Integrate AI solutions with enterprise platforms including ERP, CRM, PLM, customer support, analytics, knowledge management, productivity systems, and related tools.
- Reengineer processes to improve speed, accuracy, quality, service, cost, revenue enablement, and employee productivity.
- Define testing and evaluation approaches to ensure solutions are accurate, reliable, secure, scalable, and effective.
- Coordinate with Information Systems, business leaders, data owners, and security stakeholders to implement appropriate governance and controls.
- Support user adoption of new AI tools and continuously improve solutions based on feedback and results.
- Evaluate emerging AI technologies and recommend practical options based on business value, implementation requirements, cost, risk, and scalability.
Key requirements
- Bachelor’s degree in CS, AI, or related fields.
- 5+ years of professional software engineering experience, including ownership of production applications.
- 2+ years hands-on experience building solutions with modern AI technologies, including large language models.
- Experience translating ambiguous business problems into practical technical solutions.
- Hands-on experience with prompt design, retrieval architectures, AI application testing, and model/system evaluation.
- Experience building AI agents, multi-agent systems, tool-using agents, RAG solutions, or complex agentic workflows.
- Experience integrating APIs, cloud services, enterprise applications, and data sources.
- Strong proficiency in Python or another modern language used for AI application development.
- Experience with data engineering, analytics, BI, MLOps/LLMOps, observability, or cloud deployment.
- Experience with source control, testing, deployment, monitoring, and modern software delivery practices.
- Excellent communication skills, including working with technical and nontechnical stakeholders and explaining complex decisions in business terms.
- A practical, curious mindset and a willingness to learn how the business works to improve technology outcomes.
Technologies you may work with
- Python, large language models, retrieval-augmented generation (RAG), AI agents, multi-agent systems, agentic workflows
- APIs and enterprise systems such as ERP, CRM, and PLM
- Microsoft ecosystem tools including Dynamics 365 Business Central, Azure, Copilot, Power Platform, Fabric, Dataverse, Microsoft 365, and Azure OpenAI
- MLOps/LLMOps and BI
Benefits
- Competitive base salary with annual bonus opportunity
- Comprehensive medical, dental, and vision coverage
- 401(k) with company match and immediate vesting
- Generous paid time off and paid holidays
- Hire to Retire philosophy with Individual Development Plans and support for career development
- Flexible Spending Accounts (FSA), Health Savings Accounts (HSA), and an Employee Assistance Program (EAP)
- Music program with onsite guitar, piano, and voice lessons in California (classes can be streamed for other offices)
- Recognition programs, launch parties, and team building events to share successes
Even better if you have
- Experience with Microsoft Dynamics 365 Business Central or integrating solutions with ERP systems
- Experience integrating with Azure OpenAI, Microsoft Copilot, Power Platform, Fabric, or Dataverse
- Experience working in product, manufacturing, distribution, or field-service environments
- Exposure to Lean, continuous improvement, or business process reengineering
Role context
This position is built for engineers who want to go beyond evaluating AI tools or delivering proofs of concept that never reach production. You will work directly with business teams to clarify goals, identify why processes slow down, define technical requirements, and then build, deploy, and iterate on solutions that address meaningful business problems.
Why Fieldpiece
As a privately held company, Fieldpiece invests for the long term in its people, products, and future. The organization focuses on innovation and continuous improvement, with a culture designed to support lasting careers rather than chasing short-term results.
Culture and values
Fieldpiece uses the TURTL acronym to describe how teams collaborate and serve customers:
- TRIBE – collaborate, support one another, and win as a team.
- Upfront Homework – come prepared, begin with the end in mind, and address obstacles with creativity, grit, and tenacity.
- Right Stuff – deliver innovative solutions by seeing through the eyes of customers and using purposeful critical thinking.
- Trust – build strong relationships through credibility, accountability, and transparency.
- Lean – embrace curiosity, continuous improvement, learning from failures, and delivering results.
- No Ego – value the best ideas regardless of where they come from and work with humility, openness, and mutual respect.
