egen - Director of Engineering, Artificial Intelligence (AI)
Requirements
• 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. • 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.
Responsibilities
• Span Leadership and People Management • Practice Machinery: Hiring, Onboarding, and Enablement • Hands-on Delivery and Client Engagement • ## Span Leadership and People Management • 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. • ## Practice Machinery: Hiring, Onboarding and Enablement • 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. • ## Hands-on Delivery and Client Engagement • 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.
Benefits
• This role is eligible for our competitive salary and comprehensive benefits package to support your well-being: • Comprehensive Health Insurance • Paid Leave (Vacation/PTO) • Paid Holidays • Parental Leave • Bereavement Leave • 401 (k) Employer Match • Employee Referral Bonuses • Check out our complete list of benefits here - >https://egen.ai/people/#benefits • Important: All roles are subject to standard hiring verification practices, which may include background checks, employment verification, and other relevant checks. • EEO and Accommodations:
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