[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.

Responsibilities

• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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

Skills

• 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

Benefits

• 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

Company Overview

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