Enterprise Knowledge Systems Engineer Jobs

1 job found

Today

Sr. AI Engineer

Fieldpiece Instruments Orange, CA

Orange, CA

Today

Full time Senior Artificial Intelligence Automation

Apply Now

Job Description

Fieldpiece Instruments is hiring a Senior AI Engineer to establish its first dedicated AI engineering function. This hybrid role partners with teams across the organization to design, build, deploy, and improve practical AI and automation solutions that support real business objectives.

Role Overview

This position will work from Fieldpiece’s Orange, CA office with a move to Tustin, CA in 2028. The schedule is hybrid, with employees typically onsite three days per week, and additional onsite days may be required for onboarding, training, team meetings, project collaboration, or other business needs.

Key Responsibilities

Partner with teams across Fieldpiece to understand workflows, pain points, and business needs, then identify opportunities where AI, automation, or improved technology can deliver meaningful impact.
Translate business requirements from early concepts into production-ready applications and automations, including design, development, implementation, and ongoing support.
Build AI agents, copilots, workflow automations, decision-support tools, and other practical AI-enabled solutions.
Develop solutions using large language models, retrieval-augmented generation (RAG), enterprise knowledge systems, APIs, and agentic workflows.
Integrate AI solutions with enterprise systems and data sources, including ERP, CRM, PLM, customer support, analytics, knowledge management, productivity platforms, and other business tools.
Reengineer processes to improve speed, accuracy, quality, service, cost, revenue enablement, and employee productivity.
Define and apply testing and evaluation approaches to support accurate, reliable, secure, scalable, and effective solutions.
Collaborate 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 approaches based on business value, implementation requirements, cost, risk, and scalability.

Required Qualifications

Bachelor’s degree in CS, AI, or a related field.
5+ years of professional software engineering experience, including ownership of production applications.
2+ years of hands-on experience building solutions with modern AI technologies, including large language models.
Experience converting ambiguous business problems into practical technical solutions.
Hands-on experience with prompt design, retrieval architectures, AI application testing, and model or system evaluation, including 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, with the ability to work with technical and nontechnical stakeholders and explain complex technical decisions in business terms.
A practical, curious mindset with enjoyment for understanding how a business works, asking the right questions, and improving processes through technology.

Preferred Technologies and Tools

Python
Large language models
Retrieval-augmented generation (RAG)
Microsoft Dynamics 365 Business Central
Azure OpenAI
Microsoft Copilot
Power Platform
Fabric
Dataverse
Microsoft 365
APIs
ERP, CRM, PLM

Additional “Even Better” Qualifications

Experience with Microsoft Dynamics 365 Business Central or integrating solutions with ERP systems, Azure OpenAI, Microsoft Copilot, Power Platform, Fabric, or Dataverse.
Experience working in a product, manufacturing, distribution, or field-service environment.
Exposure to Lean, continuous improvement, or business process reengineering.

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, including Individual Development Plans and support for career development
Flexible Spending Accounts (FSA), Health Savings Accounts (HSA), and 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

Culture and Work Approach

Teamwork: collaborate, support one another, and win as a team
Urgency: move quickly, stay agile, and focus on what matters most
Respect: value diverse perspectives and maintain professionalism and integrity
Trust: build strong relationships through accountability and transparency
Learning: embrace curiosity, continuous improvement, and personal growth
No Ego: value the best ideas regardless of source, with humility, openness, and mutual respect

View full job page →

Get Enterprise Knowledge Systems Engineer Jobs alerts

New Enterprise Knowledge Systems Engineer Jobs, daily.