What they ask for
About the role
When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.
Summary In this role, you will lead the enterprise capability responsible for helping Product and Delivery teams adopt Vizient’s AI Delivery Lifecycle and AI Factory. You will lead a team of Forward Deployment Engineers who partner directly with teams to accelerate AI adoption, remove implementation barriers, and move solutions from discovery and prototyping through production. This leader combines expertise in artificial intelligence, product delivery, technical program management, and organizational enablement to establish repeatable practices and scalable adoption across the enterprise. The role partners with Engineering, Product, Security, Governance, Quality, Operations, and business leaders to enable the effective use of AI capabilities while maintaining accountability for product ownership, delivery commitments, and business outcomes.
Responsibilities • Lead enterprise adoption of Vizient’s AI Delivery Lifecycle and AI Factory across Product and Delivery teams. • Lead, develop, and retain a team of Forward Deployment Engineers who support strategic initiatives and accelerate AI adoption. • Establish engagement models, prioritization processes, capacity plans, and success measures for Forward Deployment Engineering support. • Enable teams to discover, integrate, and reuse approved AI capabilities, tools, patterns, and services through playbooks, workshops, coaching, and hands-on guidance. • Assess team readiness, identify adoption barriers, and partner with cross-functional leaders to improve implementation effectiveness and team self-sufficiency. • Provide technical guidance for pilots, prototypes, integrations, troubleshooting, production readiness, and continuous optimization of AI solutions. • Partner with Product, Engineering, Architecture, Data, Security, Governance, Quality, and Operations teams to resolve delivery challenges and accelerate implementation. • Establish a scalable AI Enablement service model, adoption roadmap, prioritized backlog, and continuous improvement practices. • Identify recurring challenges, capability gaps, and successful implementation patterns, and translate them into reusable assets, standards, and guidance. • Define and track measures of success, including adoption, reuse, delivery efficiency, time to value, production readiness, and business impact. • Build trusted relationships with enterprise leaders and influence adoption through communication, facilitation, accountability, coaching, and change leadership. • Represent AI Enablement in enterprise AI planning, operating model discussions, capability roadmaps, and strategic technology initiatives.
Qualifications • 10+ years of experience in software engineering, solution delivery, architecture, platform enablement, technical consulting, or enterprise technology transformation required. • 5+ years of experience leading technical teams or large-scale, cross-functional technology initiatives required. • Demonstrated success driving adoption of enterprise platforms, engineering frameworks, operating models, or shared technology capabilities across multiple teams required. • Experience leading consultative or embedded engineering teams that accelerate delivery while maintaining clear ownership within Product, Engineering, and Delivery organizations required. • Strong technical acumen, including the ability to evaluate architectures, review implementations, and provide hands-on technical guidance when needed required. • Experience leading complex technology programs involving planning, dependency management, risk mitigation, stakeholder alignment, and outcome measurement required. • Experience with product and process management, including roadmap development, prioritization, adoption strategy, continuous improvement, and value realization required. • Practical experience delivering production AI or machine learning solutions, including generative AI, large language models, agentic workflows, retrieval-augmented generation, and enterprise AI integrations required. • Experience helping teams advance AI solutions from ideation and prototyping through deployment, operations, and continuous optimization required. • Working knowledge of modern cloud and software engineering practices, including APIs, CI/CD, security, observability, data integration, MLOps, and LLMOps required. • Ability to influence and collaborate effectively with Product, Engineering, Architecture, Data, Security, Operations, and business stakeholders in a matrixed environment required. • Exceptional communication, facilitation, change leadership, and coaching skills required. • You must be authorized to work in the United States without Sponsorship. #LI-JB1
Estimated Hiring Range: At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $135,200.00 to $236,600.00. This position is also incentive eligible.
Vizient has a comprehensive benefits plan! Please view our benefits here:
http://www.vizientinc.com/about-us/careers
Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities
The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.