Senior Manager - Delivery - Applied AI

We’re looking for a Senior Manager, Delivery – Applied AI to lead the execution, delivery, and operational success of enterprise AI solutions.

About the role

In this highly visible role, you’ll guide multidisciplinary teams building production-ready AI, machine learning, generative AI, and agentic AI capabilities that drive meaningful business impact.

Responsibilities

• Lead end-to-end delivery of enterprise AI initiatives from early concept through production deployment and ongoing support
• Oversee the design, build, integration, and operation of AI solutions that support business goals and measurable outcomes
• Provide technical leadership across AI engineering efforts, ensuring solutions are aligned with architecture, security, scalability, and operational standards
• Help establish and continuously improve the AI development lifecycle, including experimentation, model development, evaluation, deployment, monitoring, and governance
• Partner with architecture, engineering, operations, data, security, product, and business teams to bring AI capabilities into enterprise systems
• Remove delivery blockers, manage risks, and keep multiple AI initiatives moving forward with clarity and predictability
• Lead and develop a multidisciplinary AI organization, including AI engineers, machine learning engineers, MLOps engineers, and AI platform specialists
• Support staffing, capacity planning, prioritization, and sprint execution across active initiatives
• Build a strong team culture centered on accountability, learning, collaboration, quality, and continuous improvement
• Manage team performance, coaching, development planning, onboarding, and retention in partnership with leadership and HR
• Communicate progress, dependencies, risks, and future needs to senior stakeholders
• Drive operational excellence through delivery metrics, reusable frameworks, documentation, and engineering best practices

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, or a related technical field
• 10+ years of software engineering experience with increasing technical leadership responsibility
• 5+ years leading AI or machine learning engineering teams delivering production solutions
• Hands-on experience building and operating machine learning, generative AI, and AI-powered applications in production
• Strong understanding of the full AI development lifecycle, including evaluation, deployment, monitoring, governance, and lifecycle management
• Deep software engineering knowledge across cloud-native architecture, APIs, distributed systems, CI/CD, DevOps, and modern delivery practices
• Proven success leading cross-functional technology efforts involving engineering, infrastructure, cloud, data, security, architecture, product, and business teams
• Ability to build, coach, and scale high-performing technical teams
• Excellent communication, planning, prioritization, and stakeholder management skills
• Strong commitment to quality, responsible AI practices, and operational reliability

Preferred Skills

• Master’s degree in a related technical field
• Experience with agentic coding practices, AI evaluations, and evolving AI platform capabilities
• Background in enterprise governance, privacy, security, or regulatory environments
• Experience shaping team structure, hiring strategy, succession planning, and long-term talent development
• Ability to translate strategy into practical delivery plans and scalable operating models

Benefits

• Medical, dental, and vision coverage
• Retirement benefits

Pay

The pay range for this role is $130,600 - $195,000 per year based on qualifications and experience.