[Remote] AI Enablement & Engineering Manager

Note: The job is a remote job and is open to candidates in USA. Trace3 is a leading Transformative IT Authority, providing unique technology solutions and consulting services to clients. The Manager, AI Enablement & Engineering is responsible for driving enterprise adoption and operationalization of AI tools and solutions, leading a team to deliver scalable AI adoption, training, and governance across the organization.ResponsibilitiesDefine and execute the enterprise AI enablement and operationalization strategyDevelop programs to drive AI awareness, adoption, productivity, and measurable business valuePartner with executive leadership to align AI initiatives with organizational priorities and transformation goalsEstablish success metrics, KPIs, and operational standards for AI adoption and value realizationDrive enterprise AI best practices, governance alignment, and standardized usage guidanceLead AI enablement engineers and technical specialists responsible for deployment, configuration, integration, and operational support of enterprise AI solutionsOversee implementation and operationalization of AI copilots, internal AI agents, workflow automations, and AI-enabled productivity toolsPartner with AI engineering, infrastructure, and enterprise application teams to prioritize integrations, enhancements, and AI platform capabilitiesEstablish scalable operational processes, support models, technical standards, and documentation practices for AI-enabled servicesSupport evaluation, pilot programs, and rollout of emerging AI technologies and platformsEnsure AI solutions align with enterprise architecture, security, governance, and compliance standardsDrive operational maturity, scalability, and continuous optimization of enterprise AI servicesCollect and analyze user feedback, adoption trends, support metrics, and operational analyticsMeasure and report on AI adoption, productivity improvements, operational efficiencies, and business value realizationDevelop executive reporting and dashboards demonstrating ROI and impact of enterprise AI initiativesIdentify gaps in usability, operational support, training effectiveness, or technical solution performancePartner with engineering and business stakeholders to improve AI capabilities using data-driven insightsDrive continuous improvement initiatives focused on user experience, operational excellence, and AI effectivenessOversee development and delivery of enterprise AI training programs, onboarding, and enablement resourcesEnsure effective education and support for tools including Microsoft Copilot, ChatGPT Enterprise, internal AI agents, automation platforms, and enterprise AI solutionsLead organizational change management initiatives to accelerate adoption and responsible AI usageStandardize enterprise AI usage guidance, playbooks, and best practicesPromote AI literacy and responsible AI behaviors across business and IT organizationsOwn the enterprise AI support model and end-user experience strategyManage AI support operations, ticketing processes, escalation workflows, and issue resolution coordinationIdentify recurring user issues and drive proactive operational or technical improvementsPartner with engineering teams to troubleshoot and resolve complex AI platform issuesEnsure a high-quality, scalable, and secure user experience for enterprise AI capabilitiesPartner with Security, Legal, Compliance, and IT leadership teams to enforce responsible AI governance standardsSupport governance processes for evaluating, approving, and operationalizing enterprise AI toolsEnsure AI usage aligns with data protection, privacy, compliance, and acceptable use policiesPromote secure and compliant usage of enterprise-approved AI technologiesAssist in development and communication of enterprise AI policies, standards, and operational proceduresLead and develop a multidisciplinary AI Enablement & Engineering team including enablement engineers, automation specialists, business analysts, and support resourcesEstablish team priorities, operational KPIs, delivery roadmaps, and service expectationsManage workload prioritization, resource planning, and execution of AI initiativesProvide technical and professional mentorship to team members supporting enterprise AI platforms and servicesFoster a culture of innovation, experimentation, accountability, and continuous learningManage relationships with AI platform vendors, technology partners, and service providersCoordinate vendor onboarding, operational reviews, escalations, and ongoing platform governancePartner with Procurement, Security, Legal, and IT leadership on vendor evaluations, renewals, risk reviews, and licensing managementMonitor vendor performance, platform adoption, support responsiveness, and roadmap alignment with business objectivesCollaborate with vendors to identify optimization opportunities, feature enhancements, and best practicesSupport proof-of-concepts, pilot programs, and evaluation of emerging AI technologies and strategic partnershipsAssist with forecasting, budgeting, and consumption management for enterprise AI platforms and servicesSkillsBachelor's degree in Engineering, Computer Science, or related field (or equivalent experience) requiredMinimum of 5 years of experience in AI enablement, enterprise technology, digital transformation, automation, IT operations, or related rolesMinimum of 3 years of leadership or technical program management experienceProven experience operating in a player-coach leadership role balancing strategic leadership with hands-on executionExperience leading technical teams supporting AI, automation, digital workplace, enterprise productivity, or SaaS platformsHands-on experience implementing, configuring, supporting, or operationalizing AI-powered solutions such as copilots, AI agents, workflow automation tools, or generative AI platformsExperience partnering with AI engineers, developers, infrastructure teams, enterprise application teams, and business stakeholdersFamiliarity with enterprise AI ecosystems including Microsoft Copilot, OpenAI/ChatGPT Enterprise, automation platforms, knowledge management solutions, and AI productivity toolsExperience using analytics, operational metrics, and reporting to measure adoption, usage, productivity impact, and value realizationUnderstanding of AI governance, responsible AI practices, enterprise security, and compliance requirementsExperience supporting APIs, integrations, workflow automation, or enterprise SaaS technologiesExperience building enterprise training programs, operational support models, and enablement strategiesExperience managing or partnering with enterprise software vendors and technology providersExperience supporting SaaS platform lifecycle management including licensing, renewals, adoption, and operational governanceFamiliarity with enterprise vendor management processes including security reviews, compliance considerations, and contract coordinationStrong executive communication, presentation, and stakeholder management skillsAbility to translate technical AI concepts into clear business and user guidanceStrong analytical, organizational, and continuous improvement capabilitiesBenefitsComprehensive medical, dental and vision plans for you and your dependents401(k) Retirement Plan with Employer Match, 529 College Savings Plan, Health Savings Account, Life Insurance, and Long-Term DisabilityCompetitive CompensationTraining and development programsMajor offices stocked with snacks and beveragesCollaborative and cool cultureWork-life balance and generous paid time offCompany OverviewTrace3 is a technology consultancy that provides IT strategies, business transformation solutions, and services for the clients. It was founded in 2002, and is headquartered in Irvine, California, USA, with a workforce of 1001-5000 employees. Its website is http://trace3.com/.Company H1B SponsorshipTrace3 has a track record of offering H1B sponsorships, with 4 in 2025, 9 in 2024, 1 in 2023, 6 in 2022, 2 in 2021. Please note that this does not guarantee sponsorship for this specific role.