AI Enablement & Engineering Manager

Who is Trace3? Trace3 is a leading Transformative IT Authority, providing unique technology solutions and consulting services to our clients. Equipped with elite engineering and dynamic innovation, we empower IT executives and their organizations to achieve competitive advantage through a process of Integrate, Automate, Innovate. Our culture at Trace3 embodies the spirit of a startup with the advantage of a scalable business. Employees can grow their career and have fun while doing it! Trace3 is headquartered in Irvine, California. We employ more than 1,200 people all over the United States. Our major field office locations include Denver, Indianapolis, Grand Rapids, Lexington, Los Angeles, Louisville, Texas, San Francisco.   Ready to discover the possibilities that live in technology?   Come Join Us! Street-Smart - Thriving in Dynamic Times We are flexible and resilient in a fast-changing environment. We continuously innovate and drive constructive change while keeping a focus on the “big picture.” We exercise sound business judgment in making high-quality decisions in a timely and cost-effective manner. We are highly creative and can dig deep within ourselves to find positive solutions to different problems. Juice - The “Stuff” it takes to be a Needle Mover We get things done and drive results. We lead without a title, empowering others through a can-do attitude. We look forward to the goal, mentally mapping out every checkpoint on the pathway to success, and visualizing what the final destination looks and feels like. Teamwork - Humble, Hungry and Smart We are humble individuals who understand how our job impacts the company's mission. We treat others with respect, admit mistakes, give credit where it’s due and demonstrate transparency. We “bring the weather” by exhibiting positive leadership and solution-focused thinking. We hug people in their trials, struggles, and failures – not just their success. We appreciate the individuality of the people around us.  JOB SUMMARY: The Manager, AI Enablement & Engineering is responsible for driving enterprise adoption, operationalization, support, and value realization of AI tools and solutions across the organization. This role leads the enablement and operational engineering strategy for AI technologies including copilots, internal AI agents, workflow automations, enterprise AI productivity platforms, and emerging AI-enabled business solutions. This is a player-coach leadership role responsible for leading AI enablement engineers, analysts, automation specialists, and technical resources to deliver scalable AI adoption, automation, training, support, governance, and operational capabilities across the enterprise. The role partners closely with business stakeholders, IT leadership, Security, Infrastructure, Enterprise Applications, and AI engineering teams to ensure AI solutions are effectively deployed, governed, supported, adopted, and optimized for measurable business impact. The Manager, AI Enablement & Engineering combines technical leadership, operational management, user enablement, change leadership, and AI governance responsibilities to accelerate responsible AI adoption while improving employee productivity, operational efficiency, and business outcomes.   SUMMARY OF ESSENTIAL JOB FUNCTIONS: AI Adoption, Enablement & Strategy • Define and execute the enterprise AI enablement and operationalization strategy. • Develop programs to drive AI awareness, adoption, productivity, and measurable business value. • Partner with executive leadership to align AI initiatives with organizational priorities and transformation goals. • Establish success metrics, KPIs, and operational standards for AI adoption and value realization. • Drive enterprise AI best practices, governance alignment, and standardized usage guidance. AI Engineering & Solution Delivery • Lead AI enablement engineers and technical specialists responsible for deployment, configuration, integration, and operational support of enterprise AI solutions. • Oversee implementation and operationalization of AI copilots, internal AI agents, workflow automations, and AI-enabled productivity tools. • Partner with AI engineering, infrastructure, and enterprise application teams to prioritize integrations, enhancements, and AI platform capabilities. • Establish scalable operational processes, support models, technical standards, and documentation practices for AI-enabled services. • Support evaluation, pilot programs, and rollout of emerging AI technologies and platforms. • Ensure AI solutions align with enterprise architecture, security, governance, and compliance standards. • Drive operational maturity, scalability, and continuous optimization of enterprise AI services. Feedback, Analytics & Continuous Improvement • Collect and analyze user feedback, adoption trends, support metrics, and operational analytics. • Measure and report on AI adoption, productivity improvements, operational efficiencies, and business value realization. • Develop executive reporting and dashboards demonstrating ROI and impact of enterprise AI initiatives. • Identify gaps in usability, operational support, training effectiveness, or technical solution performance. • Partner with engineering and business stakeholders to improve AI capabilities using data-driven insights. • Drive continuous improvement initiatives focused on user experience, operational excellence, and AI effectiveness. Training & Organizational Change Management • Oversee development and delivery of enterprise AI training programs, onboarding, and enablement resources. • Ensure effective education and support for tools including Microsoft Copilot, ChatGPT Enterprise, internal AI agents, automation platforms, and enterprise AI solutions. • Lead organizational change management initiatives to accelerate adoption and responsible AI usage. • Standardize enterprise AI usage guidance, playbooks, and best practices. • Promote AI literacy and responsible A