⚙️ Director of Engineering

Industry: U.S. Enterprise Artificial Intelligence & Autonomous Systems Platform
Senior Executive Leadership | Reports to: Chief Technology Officer
Location: Remote – United States

About the Organization

We are a U.S.-based enterprise AI and autonomous systems company delivering mission-critical machine learning platforms, real-time decision engines, robotics control systems, and advanced data processing infrastructure to Fortune 500 organizations across logistics, defense-adjacent manufacturing, healthcare technology, and smart infrastructure sectors.

Our technology ecosystem integrates distributed cloud-native architectures, embedded AI models, edge computing, predictive analytics engines, and secure API frameworks operating at scale. With multi-region deployments and complex integration requirements, engineering precision and architectural scalability are foundational to our product reliability and market leadership.

As enterprise demand accelerates and product complexity increases, disciplined engineering governance, scalable development frameworks, and forward-looking architectural leadership are central to sustaining innovation velocity and system reliability.

We are seeking a strategic Director of Engineering to lead national engineering operations, platform architecture governance, AI integration oversight, and multi-disciplinary development teams, fully remote within the United States.

This is not a feature-delivery oversight role. This is an enterprise-scale technical leadership mandate.

Job Function

The Director of Engineering will oversee architecture strategy, distributed software engineering, AI model deployment pipelines, DevOps governance, infrastructure scalability, and cross-functional product integration initiatives.

This executive ensures engineering excellence, security alignment, and high-performance delivery across enterprise platforms.

Essential Duties and Responsibilities

• Define and execute a long-term engineering roadmap aligned with the enterprise AI strategy

• Oversee distributed software engineering and infrastructure teams

• Establish architectural standards and scalable cloud-native frameworks

• Guide AI/ML model integration, validation, and deployment governance

• Strengthen DevSecOps practices and continuous delivery pipelines

• Oversee reliability engineering, uptime optimization, and technical debt management

• Manage engineering resource allocation and multi-million-dollar R&D budgets

• Implement quality assurance and secure coding standards

• Collaborate with Product, Data Science, and Operations leaders to align execution

• Lead performance measurement frameworks tied to engineering velocity and system stability

• Present engineering progress and risk posture updates to executive leadership

• Mentor senior engineering managers and succession planning initiatives

Strategic Support

• Advise CTO on long-term technology investments and innovation direction

• Support M&A technical due diligence and post-acquisition integration

• Align engineering capacity planning with enterprise growth forecasts

• Contribute to intellectual property strategy and patent development initiatives

• Strengthen the digital transformation of internal engineering tools and analytics platforms

• Guide ESG-aligned infrastructure efficiency improvements

Job Qualifications and Requirements

• 15+ years of progressive engineering leadership experience

• 7+ years within AI platforms, autonomous systems, enterprise SaaS, or advanced technology environments

• Proven track record leading large distributed engineering organizations

• Deep expertise in cloud-native architecture, AI/ML integration, and scalable systems design

• Experience managing significant R&D budgets and resource planning

• Demonstrated success delivering complex enterprise software at scale

• Bachelor’s degree required; advanced degree in Engineering or Computer Science preferred

Personal Capabilities and Qualifications

• Visionary and systems-oriented technical leader

• Executive presence with strong cross-functional communication capability

• High accountability for platform reliability and innovation performance

• Analytical and data-driven decision-maker

• Resilient in fast-scaling and technology-intensive environments

• Strong mentorship and team development expertise

• Governance-focused with a disciplined execution mindset

• Ability to lead distributed national engineering teams effectively

Working Conditions

• Fully Remote – United States

• Periodic domestic travel for engineering summits and executive planning (15–25%)

• High-accountability role tied to uptime, scalability, and innovation KPIs

• Executive-level reporting visibility

• Collaboration across distributed national and global engineering teams

Compensation & Benefits

Total Executive Compensation Package: $320,000 – $413,000 USD

Executive Compensation Includes:

• Competitive base salary within stated range

• Performance-based annual incentive aligned with engineering performance metrics

• Long-term equity participation and executive incentive plans

• Comprehensive health, dental, and vision coverage

• 401(k) with employer contribution

• Remote work flexibility and executive home office support

• Executive leadership development and advisory resources

• Generous PTO and executive leave structure

Why Join Us

• Lead enterprise engineering innovation within a rapidly expanding AI platform

• Influence mission-critical autonomous systems at a national scale

• Partner with executive leadership to shape long-term technology strategy

• Competitive executive compensation aligned with enterprise innovation impact

• Opportunity to build a world-class engineering organization, defining the future of AI-driven systems