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Fieldpiece Instruments

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Sr. AI Engineer

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Summary

First dedicated AI engineer at Fieldpiece Instruments (maker of HVACR tools and test instruments), partnering with teams across the business to design, build, and deploy production AI solutions — AI agents, RAG apps, and workflow automations — integrated with enterprise systems like Dynamics 365 Business Central, Azure, and Power Platform. Hybrid role based in Orange, CA (office moving to Tustin i

Fieldpiece is a privately held, global leader in professional HVACR tools and test instruments. We're known for developing innovative products that technicians rely on every day - and for investing in our people, our technology, and our future. Named one of the Best Places to Work in Southern California for four consecutive years, we're looking for talented people who want to make an impact while growing their careers.

We're looking for a Senior AI Engineer to help us turn the potential of AI into practical solutions that help teams to increase their efficiency, speed, and accuracy in their everyday jobs.

This is a unique opportunity to become our first dedicated AI engineering hire and help shape how AI and automation are used across the organization. You'll partner with teams throughout the business—from Sales, Marketing, Finance, and HR to Product Development, Supply Chain, Operations, Customer Experience, and IT—to understand how they work, identify opportunities for improvement, and build solutions that deliver measurable value.

This position is in our Orange, CA office with an exciting move to Tustin, CA in 2028. This role follows a hybrid work schedule, with employees typically working onsite three days per week. Additional in-office days may be required from time to time for onboarding, training, team meetings, project collaboration, or other business needs.

Why This Role?

  • This isn't a role where you'll spend your time simply evaluating AI tools or developing proofs of concept that never make it into production. You'll sit down with business teams, understand what they're trying to accomplish and where their processes are slowing them down, translate those needs into technical requirements, determine the right solution, and then build, deploy, and improve it.
  • The projects will vary widely. One may involve automating a manual workflow; another could involve creating an AI agent, improving access to company knowledge, connecting AI to an enterprise system, or building a decision-support application. The common thread is using technology to solve meaningful business problems.
  • We're technology agnostic and want someone who can choose the right solution for the problem rather than force every problem into the same technology stack. That said, experience within the Microsoft ecosystem—particularly Dynamics 365 Business Central, Azure, Copilot, Power Platform, Fabric, Dataverse, and Microsoft 365—is highly valuable in our environment.

What You'll Do

  • Partner with teams across Fieldpiece to understand their workflows, pain points, and business needs and identify opportunities where AI, automation, or better technology can make a meaningful difference.
  • Take business requirements from concept to solution—designing, developing, implementing, and supporting production-ready applications and automations.
  • Build AI agents, copilots, workflow automations, decision-support tools, and other practical AI-enabled solutions.
  • Develop applications using large language models, retrieval-augmented generation (RAG), enterprise knowledge systems, APIs, and agentic workflows.
  • Connect AI solutions with ERP, CRM, PLM, customer support, analytics, knowledge management, productivity, and other enterprise platforms.
  • Reengineer processes to improve speed, accuracy, quality, service, cost, revenue enablement, and employee productivity.
  • Establish testing and evaluation approaches to ensure solutions are accurate, reliable, secure, scalable, and effective.
  • Work closely with Information Systems, business leaders, data owners, and security stakeholders to implement appropriate governance and controls.
  • Help users successfully adopt new AI tools and continuously improve solutions based on feedback and results.
  • Evaluate emerging AI technologies and make practical recommendations based on business value, implementation requirements, cost, risk, and scalability.

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