Director of Engineering, Artificial Intelligence (AI)
3 нед. назад
218k–265k USD / годСтрана неизвестнаDirectorRemote
google cloudsalesforcemachine learningai
Lead and manage the AI engineering practice, driving strategic AI and machine learning solutions and fostering high-performing teams globally.
О компании
- About is a fast-growing and entrepreneurial company with a data-first mindset. We bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights. We are committed to being a place where the best people choose to work so they can apply their engineering and technology expertise to envision what is next for how data and platforms can change the world for the better. We are dedicated to learning, thrive on solving tough problems, and continually innovate to achieve fast, effective results. If this describes you, we want you on our team. Want to learn more about life at ? Check out these resources in addition to the job description. Meet Life at Culture and Values at Career Development at Benefits at About the opportunity We are seeking a high-impact Director of Engineering to spearhead a vital span of our AI Practice during a period of explosive growth. This is a dynamic player-coach role for a strategic engineering leader who excels at cultivating managerial talent and developing high-performing teams while staying directly engaged in transformative client delivery. Our AI Practice comprises roughly 78 top-tier engineers across North America, Europe, and India, delivering cutting-edge AI and machine learning solutions for global enterprise clients in healthcare, life sciences, hospitality, the public sec
Обязанности
- Span Leadership and People Management
- Practice Machinery: Hiring, Onboarding, and Enablement
- Hands-on Delivery and Client Engagement
Требования
- 12+ years of progressive engineering experience, including significant leadership experience guiding full engineering organizations rather than single development teams.
- Demonstrated experience managing engineering leaders and managers, with a track record of scaling teams and organizational structures effectively.
- Proven ability to build high-functioning organizational infrastructure—recruiting engines, onboarding programs, engineering standards, and career pathways—with measurable outcomes.
- Deep technical strength in platform, pipeline, and infrastructure architecture required to command respect and direct technical strategy in executive client settings.
- Hands-on expertise deploying production AI/ML systems, with primary focus on platform architecture, MLOps/LLMOps pipelines, governance, and operational resilience over pure model research.
- Deep Google Cloud Platform (GCP) experience, or the proven technical agility to master our GCP-centric delivery stack rapidly.
- Sharp consulting acumen: adept at managing ambiguity, navigating client-facing dynamics, leading concurrent engagements, and balancing business drivers.
Будет плюсом
- Professional services experience preferred.
- Collaborative mindset and comfort partnering closely with practice leadership during a transitional quarter as operational authority shifts.
- Exceptional communication and executive presence, with the ability to influence C-suite client stakeholders and internal executive leadership alike.
Другое
- Empower and lead a dedicated span of roughly twenty world-class engineers.
- Drive performance management, professional growth, career paths, and promotion pathways for everyone in your span in close alignment with the practice lead.
- Serve as the primary leadership point of escalation for engineering challenges within your span.
- Direct team staffing strategy in partnership with Resource Management and the practice lead, seamlessly matching engineering talent to high-impact engagements.
- Oversee contractor operations to ensure smooth onboarding, strategic contract extensions, and healthy engagement delivery.
- Mentor and coach team leads through crucial career conversations, performance coaching, and complex staffing decisions.
- Spearhead the practice-wide hiring engine in collaboration with the practice lead: optimize interview panels, calibrate interviewer standards, expand capacity, prioritize top candidates, and elevate our partnership with Talent Acquisition.
- Champion the entire career progression pipeline from onboarding to senior technical leader—refining mentorship, management enablement, and performance review cycles on top of existing practice frameworks.
- Lead the practice's internal accelerator program alongside the practice lead, defining production-ready client standards, driving practice-wide adoption, and curating internal assets.
- Maintain an active billable portfolio (~50% focus) across strategic, fractional advisory and platform consulting roles spread intentionally across key client accounts.
- Provide overarching technical leadership on AI SDLC initiatives—guiding client leadership in adopting modern AI tooling, setting standards of excellence, and measuring ROI.
- Drive robust AI governance solutions within highly regulated industries, establishing comprehensive evaluation frameworks, observability platforms, audit trails, and production safety controls.
- Architect enterprise platform and pipeline deployments, including agentic AI frameworks, automated promotion pipelines, and the operational infrastructure supporting them.
- Serve as a trusted executive advisor to client engineering leaders, delivering expert guidance and constructively challenging technical approaches when needed.