Director of Engineering, Artificial Intelligence (AI)
$218k - $265k • Remote • Remote • Full Time
Posted 26d ago
Job Location
Remote
Tech Stack
Remote Work Policy
Fully remote
Employment Type
Full Time
Categories
Applied AI Engineer
About the job
Egen is seeking a high-impact Director of Engineering to lead a vital span of their 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. The AI Practice comprises top-tier engineers delivering cutting-edge AI and machine learning solutions for global enterprise clients. As the first dedicated engineering leader in this role, you will take full ownership of a team, shaping team structure, staffing engagements, and fostering professional growth. You will also partner with practice leadership to refine operational frameworks for hiring, onboarding, and engineering enablement. Approximately 50% of your role will be billable client engagement, positioning you as a high-value fractional advisor and platform leader across critical technical domains.
Responsibilities
- Empower and lead a dedicated span of approximately twenty engineers.
- Drive performance management, professional growth, career paths, and promotion pathways.
- Serve as the primary leadership point of escalation for engineering challenges.
- Direct team staffing strategy in partnership with Resource Management and practice lead.
- Oversee contractor operations for smooth onboarding, extensions, and engagement delivery.
- Mentor and coach team leads through career conversations, performance coaching, and staffing decisions.
- Spearhead the practice-wide hiring engine, optimizing interview panels, calibrating standards, and expanding capacity.
- Champion the entire career progression pipeline from onboarding to senior technical leader.
- Lead the practice's internal accelerator program, defining production-ready client standards and driving adoption.
- Maintain an active billable portfolio across strategic, fractional advisory, and platform consulting roles.
- Provide overarching technical leadership on AI SDLC initiatives, guiding client leadership in adopting AI tooling and setting standards.
- Drive robust AI governance solutions, establishing evaluation frameworks, observability platforms, audit trails, and production safety controls.
- Architect enterprise platform and pipeline deployments, including agentic AI frameworks and automated promotion pipelines.
- Serve as a trusted executive advisor to client engineering leaders, delivering expert guidance and constructively challenging technical approaches.
Requirements
- 12+ years of progressive engineering experience, including significant leadership experience guiding full engineering organizations.
- 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, career pathways) with measurable outcomes.
- Deep technical strength in platform, pipeline, and AI/ML technologies.