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Particle Measuring Systems
AI Enablement Lead
Career Insights for Artificial Intelligence Engineer (General)
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What they do
An Artificial Intelligence Engineer develops, tests, and deploys artificial intelligence models. May work closely with data software engineers and data professionals to train and implement AI models into existing systems or develop new applications.
$146,805 / year median in Colorado
Job Description
AI Enablement Lead Particle Measuring Systems - 3.3 Niwot, CO Job Details $84,000 - $125,000 a year 23 hours ago Benefits Health insurance Dental insurance Flexible spending account Tuition reimbursement Employee assistance program Vision insurance 401(k) matching Life insurance Qualifications Project reporting Tooling Microsoft Power Automate Performance Reporting Metrics Reporting ROI Team training Data Security (Data management) Management reporting Technical training Change management support (employee development activity) AI-driven automation Project stakeholder communication Generative AI IT department experience Full Job Description Do you want to be part of a business that genuinely values entrepreneurialism , innovation and individual accountability? We focus on our customers and are proud of the difference our technology makes. We partner with some of the biggest manufacturing companies in the world and our technical innovations are used to enhance well-known brands across multiple industries. Job Description Template Title AI Enablement Lead Department Information Technology Location Niwot, CO Reports To VP of IT About Us Established in 1972, Particle Measuring Systems is a global leader for micro-contamination monitoring equipment improving the performance of clean manufactures in the semiconductor and pharmaceutical industries. We're a growing technology company in Niwot, Colorado, the heart of the Rocky Mountains. We offer an exceptional and rewarding work environment in a great place to live. Our employees enjoy challenging projects in the development and manufacture of light scattering particle counters and diverse technologies and applications. Your Impact We are looking for a AI Enablement Lead who will contribute to the success of the IT Team, applying their expertise in AI to support the achievement of team and company goals and delivering innovative, reliable solutions. In this role, the successful candidate will collaborate effectively with colleagues and cross-functional teams, demonstrate strong problem-solving and decision-making skills, and maintain a commitment to professional excellence, quality and continuous improvement. The Role This is a unique opportunity to drive some of PMS's earliest AI proof‑of‑concepts and implementations. You will work across Sales, Human Resources, Service, Operations and other core business functions to help define how AI can streamline, augment and transform the way we work. The AI Enablement Lead is responsible for driving the adoption of AI tools across PMS, with a primary focus on internal user productivity and safe, secure AI usage. This role identifies and prioritizes AI use cases, builds and leads to a cross-functional network of AI champions, and serves as the organization's hands-on technical expert on generative AI and productivity tools (e.g., Microsoft Copilot, ChatGPT, Perplexity). The expectation is this role is also a hands-on builder: using low-code/no-code platforms (e.g., Microsoft Copilot Studio, Power Automate) and light scripting against AI APIs. This role reports measurable outcomes on AI investment and is a key contributor to PMS's broader digital and AI strategy. Job Responsibilities AI Strategy & Governance Contribute to and help execute PMS's AI strategy and adoption roadmap. Establish and maintain AI governance guidelines for safe, secure, and responsible, ethical, and lawful use of AI across public and international contexts. Partner with Security and the Enterprise Architect on data handling standards and acceptable use policies for AI tools. Use Case Identification & Prioritization Manage an AI use case funnel; identify, evaluate, and prioritize opportunities to improve user productivity across departments. Maintain a centralized AI opportunity portfolio, including intake status, business owner, expected value, risk profile, priority, and delivery progress. Identify overlapping needs across departments and promote reuse of validated AI solutions to reduce duplication and accelerate value. Partner with business stakeholders to scope pilots and define success metrics. Adoption & Change Management Build and lead PMS's AI Champions network — recruit, train, and support champions across functions (not concentrated in IT) to drive peer-to-peer adoption. Work directly with teams to understand current workflows, pain points, and repetitive tasks, then translate those opportunities into practical AI-enabled improvements. Make AI visible across the organization through demos, success stories, templates, playbooks, and shared examples. Organize AI training, upskilling programs, and a recurring community forum to share wins, use cases, and lessons learned. Apply structured change management practices, such as Prosci/ADKAR, to build awareness, reduce resistance, support behavior change, and reinforce sustained adoption of AI-enabled ways of working. Foster an AI-forward culture and act as the organization's visible AI advocate. Technical Expertise Support teams in reimagining how AI and automation can meaningfully improve efficiency, quality and customer experience. Oversee end‑to‑end delivery of AI projects, ensuring technical development, testing, change management and implementation run smoothly. Serve as PMS's hands-on technical expert on productivity AI tools (Copilot, ChatGPT, Perplexity, and emerging tools). Evaluate new AI tools and features; recommend adoption, configuration, and rollout approaches. Track both productivity and quality outcomes, including time saved, cycle-time improvement, adoption levels, user satisfaction, and measurable business impact. Capture lessons learned from pilots and use them to improve future AI enablement efforts. Hands-on agent & automation building — build and deploy simple AI agents and workflow automations using low-code/no-code platforms (Copilot Studio, Power Automate, Zapier/Make) and light scripting against AI APIs. Prototype internal automations (e.g., document summarization, ticket triage, meeting follow-ups) and hand off validated use cases for broader rollout. Escalate use cases requiring production-grade architecture, custom RAG, or complex agent orchestration to the Enterprise Architect for scoping as a separate initiative. Measurement & Reporting Define adoption and productivity metrics (tool usage, hours saved, use cases in production) and report monthly outcomes to IT leadership. Track AI program spends against measurable business value to support EBITDA-focused investment decisions. Continuously evaluate processes for improvements in efficiency, quality, and safety This job description is not intended to be all-inclusive. Responsibilities may evolve over time, and other related duties may be assigned to meet the ongoing needs of the company. Required Qualifications Bachelor's degree in information systems, computer science, or a related field (or equivalent practical experience). 3-5 years in IT, digital enablement, or a related role, with hands-on, practical experience using generative AI tools (Copilot, ChatGPT, Claude, Gemini, Perplexity, or similar). Experience applying change management approaches, such as Prosci/ADKAR, to support technology adoption, stakeholder engagement, communications, training, and reinforcement.