Description
About the Team
The Applied AI Architect team partners with organisations to turn OpenAI's most capable models into meaningful, real-world impact. They work with customers across industries to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption.
About the Role
As the Manager of Applied AI Architects, you will lead a team of senior technical leaders responsible for the technical strategy, customer journey, and path to production value for OpenAI's largest and most complex customers. Your team will act as the “CTO of the book of business,” partnering with customer executives and technical teams from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact.
You will set the operating model for how Applied AI Architects own technical account plans across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In close partnership with Sales leadership and Account Directors, you will help prioritise customer portfolios, allocate technical resources, and ensure business priorities translate into focused use cases, credible architectures, actionable adoption roadmaps, and durable customer value and growth.
You will remain accountable for the team's technical outcomes while developing its people and bringing in the right specialists across deployment, implementation, enablement, security, product, research, and partners. You will serve as an executive technical sponsor for critical engagements, a senior voice of the customer inside OpenAI, and a cross-functional leader who can move confidently between regional strategy, executive decision-making, architectural depth, and hands-on coaching.
This role is based in London. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
Responsibilities
- Hire, coach, and develop a high-performing team of Applied AI Architects, creating an environment of technical excellence, sound judgement, continuous learning, accountability, and strong customer stewardship.
- Define and continuously refine the strategy and operating model for Applied AI Architecture, aligning company priorities with the evolving needs of strategic customers.
- Partner with Sales leadership and Account Directors to prioritise accounts and opportunities, allocate technical resources effectively, and establish clear technical strategies.
- Ensure Applied AI Architects serve as primary technical advisors for their portfolios, owning technical account plans, technical milestones, adoption priorities, account health, and expansion opportunities.
- Lead complex, multi-threaded customer journeys connecting executive vision and business outcomes with use-case qualification, solution evaluation, enterprise governance, and a credible path to production.
- Coach the team on Applied AI architectures spanning models, applications, data, integration, identity, security, privacy, governance, evaluation, reliability, and deployment.
- Build trusted relationships with C-suite and board-level stakeholders, as well as senior AI, technology, data, security, and engineering leaders.
- Mobilise Deployment Engineering, implementation, enablement, Product, Engineering, Research, Security, Legal, Privacy, partners, and other specialists to remove blockers and deliver a cohesive customer experience.
- Establish a rigorous view of portfolio health, including technical wins, qualified use cases, production readiness, adoption, usage, risks, measurable customer impact, and technical contribution to growth.
- Translate patterns from the field into actionable feedback for Product, Engineering, Research, and go-to-market teams.
- Foster a culture balancing ambitious customer outcomes with responsible AI deployment, clear ownership, thoughtful prioritisation, and effective specialist handoffs.
Requirements
- Possess deep technical acumen in modern AI systems, frontier models, agentic applications, platform technologies, software and cloud architecture, APIs, data integration, identity, security, privacy, evaluation, and enterprise deployment.
- Bring 10+ years of experience in customer-facing technical roles such as solutions architecture, solutions engineering, technical account leadership, AI deployment, or technical consulting.
- Have 4+ years of people-management experience hiring, coaching, and developing high-performing customer-facing technical teams.
- Have guided enterprise organisations from technical discovery and evaluation through production adoption, healthy usage, and measurable business impact.
- Demonstrate outstanding executive communication and presentation skills.
- Can lead a complex portfolio, make thoughtful resource-allocation decisions, and balance regional strategy with hands-on support for critical customer engagements.
- Exercise strong architectural judgement, including knowing when to go deep personally, when to coach the team, when to involve specialists, and how to define clear handoffs and ownership.
- Build strong partnerships across Sales, Product, Engineering, Research, Deployment, Customer Engagement, Security, Legal, Privacy, and external partner ecosystems.
- Are comfortable leading across regions and partnering across European markets.
- Embody a customer-centric philosophy focused on durable value, responsible production adoption, technical excellence, and long-term partnership.