Manager, Applied AI Engineering (Enterprise)

The role

You will build, lead, and develop a high-performing team of Applied AI Engineers supporting enterprise customers. You will be accountable for the technical success of a customer portfolio by designing and deploying production-grade AI systems.

What you will do

• Build, manage, and develop a high-performing team of Applied AI Engineers.
• Own the quality and impact of the team's work across solution design, implementation, and production readiness.
• Coach the team through decisions involving architecture, model selection, and reliability.
• Establish an operating model for prioritizing accounts and engagements.
• Serve as a senior technical escalation point during critical launches and production incidents.
• Partner with customer executives to connect implementation decisions to business outcomes.
• Help customers progress from experimentation to production systems.
• Partner with Sales and Solutions Engineering to maintain customer success.
• Translate customer needs into actionable feedback for internal teams.
• Develop reusable architectures, evaluation methods, and playbooks.

Required qualifications

• Significant experience managing customer-facing technical teams.
• Experience building or leading teams responsible for implementing complex software, data, machine learning, or AI systems in enterprise environments.
• Technical depth to evaluate architectures and coach engineers.
• Experience taking AI, machine learning, or other technically complex systems from prototype to production.
• Understanding of production-system requirements including reliability, security, and data governance.
• Experience leading teams through ambiguity and competing priorities.
• Ability to translate between technical details, customer needs, and business outcomes.
• Experience working with large organizations involving multiple business units or governance requirements.
• Strong executive presence to build trust with senior stakeholders.
• Experience designing operating models, coverage strategies, or repeatable delivery processes.
• Ability to use data and clear principles to allocate resources.

Nice to have

• Leading teams in applied AI engineering, solutions architecture, forward-deployed engineering, professional services, technical consulting, or customer engineering.
• Implementing generative AI, machine learning, developer platforms, cloud infrastructure, or data platforms.
• Working with customers in semiconductors, media, entertainment, or similarly complex industries.
• Supporting global customers, multi-business-unit implementations, or regulated workflows.

About the company

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. They seek to safely deploy AI to the world through their products.