Senior Director, AI Delivery & Operations
$167,500–$278,000 year
RemoteCalifornia, United States or New York, United States
Job Summary
Lead product-aligned engineering teams to deliver AI-enabled applications and services at scale, driving adoption of AI-assisted and agent-based development including automated code generation, testing, and refactoring. Establish a high-throughput engineering model focused on solution architecture, system design, and quality assurance of AI-generated code while owning the reliable delivery of AI/ML and GenAI solutions through APIs and integrated data pipelines. Build and scale a modern AI-native execution layer that operationalizes AI-driven decisions via workflow orchestration, intelligent automation, and human-in-the-loop patterns. Establish end-to-end AI lifecycle management covering model development, validation, deployment, monitoring, and drift detection, embedding governance-by-design with AI Risk & Compliance to ensure auditability and secure development. Define and manage the ecosystem of engineering partners to drive reusable assets and platform capabilities while leading internal capability building in AI engineering and emerging agentic technologies.
Required Qualifications
- Bachelor's degree
- 12 years of experience in software engineering, platform engineering, or technology leadership roles
- proven track record of building and scaling high-performing engineering organizations
- Demonstrated experience defining and implementing scalable, reusable platform architectures and shared capability layers in complex enterprise environments
- Experience delivering AI/ML and/or GenAI-enabled systems in production
- understanding of model lifecycle, integration patterns, and operational considerations
- Proven ability to evolve engineering organizations toward modern, automation-first and AI-assisted development practices
- Demonstrated success driving step-change improvements in engineering productivity and delivery models
- Experience operating in complex, matrixed organizations with cross-functional stakeholders across Product, Data, AI, and Business teams
- Experience in regulated environments (e.g., healthcare, life sciences)
- understanding of compliance, security, and quality considerations in engineering systems
- Strong systems thinking with the ability to design scalable, reusable architecture patterns rather than point solutions
- Deep technical and strategic understanding of AI engineering, platform architecture, and modern software systems
- ability to translate these into business and operational impact
- Ability to operate effectively at both deep technical and executive levels
- bridging architecture, engineering execution, and business priorities
- Strong orientation toward automation, reuse, and platform leverage over bespoke development approaches
- Demonstrated ability to lead transformation of engineering practices
- adoption of AI-assisted and agent-enabled development models
- Strong leadership and organizational design capability
- experience building and scaling multidisciplinary engineering and platform teams
- Excellent stakeholder management and communication skills
- ability to influence across Product, Data, AI, Risk, and Business functions
- Ability to balance speed, quality, cost efficiency, and regulatory compliance
- Comfortable operating in ambiguity
- leading teams through rapidly evolving technology landscapes
- including emerging AI and agentic capabilities
- Able to communicate, receive, and understand information and ideas with diverse groups of people in a comprehensible and reasonable manner
- Able to work upright and stationary for typical working hours
- Ability to use and learn standard office equipment and technology with proficiency
- Able to perform successfully under pressure while prioritizing and handling multiple projects or activities
- Must be legally authorized to work in the United States
Desired Qualifications
- advanced degree (computer science, engineering, AI/ML, or related field)
- Experience in regulated environments (e.g., healthcare, life sciences)
- understanding of compliance, security, and quality considerations in engineering systems
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.