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 AI behaviors across business and IT organizations.
AI Support Operations & User Experience
• Own the enterprise AI support model and end-user experience strategy.
• Manage AI support operations, ticketing processes, escalation workflows, and issue resolution coordination.
• Identify recurring user issues and drive proactive operational or technical improvements.
• Partner with engineering teams to troubleshoot and resolve complex AI platform issues.
• Ensure a high-quality, scalable, and secure user experience for enterprise AI capabilities.
AI Governance & Responsible AI
• Partner with Security, Legal, Compliance, and IT leadership teams to enforce responsible AI governance standards.
• Support governance processes for evaluating, approving, and operationalizing enterprise AI tools.
• Ensure AI usage aligns with data protection, privacy, compliance, and acceptable use policies.
• Promote secure and compliant usage of enterprise-approved AI technologies.
• Assist in development and communication of enterprise AI policies, standards, and operational procedures.
Team Leadership
• Lead and develop a multidisciplinary AI Enablement & Engineering team including enablement engineers, automation specialists, business analysts, and support resources.
• Establish team priorities, operational KPIs, delivery roadmaps, and service expectations.
• Manage workload prioritization, resource planning, and execution of AI initiatives.
• Provide technical and professional mentorship to team members supporting enterprise AI platforms and services.
• Foster a culture of innovation, experimentation, accountability, and continuous learning.
Vendor & Platform Management
• Manage relationships with AI platform vendors, technology partners, and service providers.
• Coordinate vendor onboarding, operational reviews, escalations, and ongoing platform governance.
• Partner with Procurement, Security, Legal, and IT leadership on vendor evaluations, renewals, risk reviews, and licensing management.
• Monitor vendor performance, platform adoption, support responsiveness, and roadmap alignment with business objectives.
• Collaborate with vendors to identify optimization opportunities, feature enhancements, and best practices.
• Support proof-of-concepts, pilot programs, and evaluation of emerging AI technologies and strategic partnerships.
• Assist with forecasting, budgeting, and consumption management for enterprise AI platforms and services.
REQUIRED SKILLS AND EXPERIENCE:
• Bachelor’s degree in Engineering, Computer Science, or related field (or equivalent experience) required.
• Minimum of 5 years of experience in AI enablement, enterprise technology, digital transformation, automation, IT operations, or related roles.
• Minimum of 3 years of leadership or technical program management experience.
• Proven experience operating in a player-coach leadership role balancing strategic leadership with hands-on execution.
• Experience leading technical teams supporting AI, automation, digital workplace, enterprise productivity, or SaaS platforms.
• Hands-on experience implementing, configuring, supporting, or operationalizing AI-powered solutions such as copilots, AI agents, workflow automation tools, or generative AI platforms.
• Experience partnering with AI engineers, developers, infrastructure teams, enterprise application teams, and business stakeholders.
• Familiarity with enterprise AI ecosystems including Microsoft Copilot, OpenAI/ChatGPT Enterprise, automation platforms, knowledge management solutions, and AI productivity tools.
• Experience using analytics, operational metrics, and reporting to measure adoption, usage, productivity impact, and value realization.
• Understanding of AI governance, responsible AI practices, enterprise security, and compliance requirements.
• Experience supporting APIs, integrations, workflow automation, or enterprise SaaS technologies.
• Experience building enterprise training programs, operational support models, and enablement strategies.
• Experience managing or partnering with enterprise software vendors and technology providers.
• Experience supporting SaaS platform lifecycle management including licensing, renewals, adoption, and operational governance.
• Familiarity with enterprise vendor management processes including security reviews, compliance considerations, and contract coordination.
• Strong executive communication, presentation, and stakeholder management skills.
• Ability to translate technical AI concepts into clear business and user guidance.
• Strong analytical, organizational, and continuous improvement capabilities.
Actual salary will be based on a variety of factors, including location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base salary.
Estimated Pay Range
$142,727—$150,000 USD
The Perks
- Comprehensive medical, dental and vision plans for you and your dependents
- 401(k) Retirement Plan with Employer Match, 529 College Savings Plan, Health Savings Account, Life Insurance, and Long-Term Disability
- Competitive Compensation
- Training and development programs
- Major offices stocked with snacks and beverages
- Collaborative and cool culture
- Work-life balance and generous paid time off
Our Commitment
At the core of Trace3's DNA is our people. We are a diverse group of talented individuals who understand the importance of teamwork and demonstrating leadership, character, and passion in all that we do.
We’re committed to fostering an inclusive workplace where everyone feels respected, valued, and empowered to grow. We recognize that embracing diversity drives innovation, improves outcomes, fosters collaboration, boosts teammate satisfaction, and builds a more inclusive culture.
As an equal opportunity employer, Trace3 bases all employment decisions based on individual qualifications, merit, and business requirements. We do not engage in discrimination on the basis of race, color, religion, sex (including gender identity, sexual orientation, and pregnancy), national origin, age (40 or older), disability, genetic information, or any other characteristic protected by federal, state, or local law.
Any demographic information provided is strictly voluntary, kept confidential in accordance with Equal Employment Opportunity (EEO) regulations, and will not be used in employment decisions, including hiring, promotions, or mentorship programs. We are committed to providing equal employment opportunities for all.
If you require a reasonable accommodation to complete the application process or participate in an interview, please email [email protected].
***To all recruitment agencies: Trace3 does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Trace3 employees or any other company location. Trace3 is not responsible for any fees related to unsolicited resumes/CVs.
.png)
