Director – Field Deployment Engineering (FDE)
HCLTech · Santa Clara, CA
Apply & track with Apply EdgeHCLTech is seeking an experienced and visionary Director of Field Deployment Engineering (FDE) to lead our global AI deployment organization supporting the Anthropic ecosystem.
The Director will lead a globally distributed team of Field Deployment Engineers, technical specialists, and deployment leaders embedded within customer environments to accelerate AI adoption and business transformation.This is not a traditional delivery management role. It is an executive-level AI deployment leadership position focused on operationalizing Generative AI, Agentic AI, Digital Employees, and next-generation enterprise AI platforms at scale.You will work across executive stakeholders, technical teams, solution specialists, alliance leaders, and customer organizations to build repeatable deployment models, drive measurable business outcomes, and establish industry-leading AI implementation practices.Key ResponsibilitiesGlobal FDE LeadershipLead and scale a global organization of Field Deployment Engineers supporting enterprise AI transformation initiatives.Build, develop, and mentor technical leaders, deployment architects, pod leads, and customer-facing AI specialists.Establish workforce planning, staffing models, skill development programs, and rotational strategies across regions.Foster a high-performance culture focused on customer outcomes, innovation, and operational excellence.Enterprise AI Deployment ExcellenceLead execution of complex AI transformation programs across multiple industries and geographies.Govern deployment quality, architecture standards, implementation methodologies, and client success metrics.Ensure successful adoption of AI-powered solutions including AI Agents, Digital Employees, Claude-based solutions, and enterprise AI platforms.Develop scalable deployment frameworks that can be consistently applied across industries and client environments.Customer Transformation LeadershipServe as a trusted advisor to senior client stakeholders and executive sponsors.Guide enterprise clients through AI adoption, organizational change, operating-model transformation, and business value realization.Support strategic customer engagements, executive workshops, architecture reviews, and deployment planning sessions.Partner with sales, alliance, and solution teams to accelerate successful customer outcomes.Operational Governance & ScalabilityOwn global deployment readiness, capacity planning, utilization management, and resource allocation.Establish delivery governance, deployment KPIs, quality controls, risk management procedures, and escalation frameworks.Create repeatable deployment playbooks, implementation standards, best practices, and knowledge management frameworks.Drive continuous improvement across deployment processes, methodologies, and customer engagement models.Cross-Functional LeadershipPartner closely with Alliance, GTM, Product, CoE, Architecture, and Delivery leaders.Coordinate deployment staffing and transformation priorities with geographic and industry leadership teams.Collaborate with Solution Specialists and technical architects to ensure successful transition from opportunity identification to deployment execution.Provide field insights and customer feedback to influence solution evolution, GTM strategy, and service offerings.Business Performance & GrowthMeasure and improve deployment effectiveness, utilization, customer satisfaction, time-to-value, and transformation success metrics.Support strategic growth initiatives by ensuring deployment capabilities can scale with market demand.Contribute to executive reporting, operational reviews, and long-term workforce planning.Drive continuous expansion of deployment maturity, technical capability, and customer impact.Required Qualifications12+ years of experience leading customer-facing engineering, cloud, AI, platform, or enterprise technology organizations.Proven experience managing large-scale technical teams supporting enterprise deployments and transformation programs.Deep understanding of enterprise AI platforms, cloud technologies, modern data architectures, and digital transformation initiatives.Experience leading globally distributed engineering, consulting, or deployment organizations.Strong understanding of enterprise architecture, solution implementation, and organizational transformation.Demonstrated success managing complex client engagements involving executive stakeholders.Exceptional leadership, communication, stakeholder management, and organizational development skills.Preferred QualificationsExperience working with Generative AI, Agentic AI, LLM platforms, AI Agents, Digital Employees, or enterprise AI solutions.Experience deploying AI solutions within highly regulated and large-scale enterprise environments.Background in cloud-native architectures and hyperscaler ecosystems including AWS, Microsoft Azure, or Google Cloud.Experience with enterprise transformation, management consulting, or technology modernization programs.Familiarity with MLOps, AI governance, responsible AI frameworks, and AI operating models.MBA, master's degree, or advanced technical degree preferred.What Success Looks LikeWithin this role, success will be measured by:Scaling a world-class Field Deployment Engineering organization.Accelerating enterprise AI adoption across strategic client accounts.Improving deployment quality, customer outcomes, and business value realization.Building repeatable AI deployment methodologies that can be scaled globally.Establishing HCLTech as a trusted leader in enterprise AI transformation and operationalization.Why Join HCLTechYou will have the opportunity to help shape how some of the world's largest enterprises deploy and operationalize AI at scale. Working at the forefront of AI innovation, you will influence strategy, build high-performing global teams, and drive transformative outcomes for clients adopting next-generation AI technologies.Inclusion & Equal OpportunityAt HCLTech, we believe breakthrough innovation comes from diverse perspectives, experiences, and backgrounds. We are committed to fostering an inclusive workplace where everyone can contribute, grow, and succeed. We encourage applications from women, veterans, people with disabilities, members of underrepresented communities, and professionals from all backgrounds who are passionate about advancing the future of AI and enterprise transformation.Pay and BenefitsBase Pay Range Minimum: $200,000 per yearBase Pay Range Maximum: $280,000 per yearHCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to secure@hcltech.com for investigation.A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per yearHow You’ll GrowAt HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.