Head of Applied AI Architecture - Hybrid Leader

Fdetimes

San Francisco (CA)

Hybrid

USD 180,000 - 240,000

Full time

14 days+

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Benefits offered by this job

Relocation assistance

Job summary

OpenAI seeks a Manager, Applied AI Architect to lead a team of Applied AI Architects, guiding them from pre-sales discovery through deployment and adoption to deliver business impact. This role collaborates with Sales, Deployment, Product, Engineering, and Research to ensure a seamless customer journey.

The position requires 8+ years in technical customer-facing roles and 3+ years in leading pre-sales teams, with a track record in Generative AI or ML deployments.

Qualifications

  • Eight-plus years in technical customer-facing roles with global organizations.
  • Experience leading technical pre-sales teams and mentoring high-performing staff.
  • Led complex sales and deployments involving Generative AI or ML solutions.
  • Ability to navigate ambiguity and align technical work with business value.

Responsibilities

  • Develop and communicate a strategic vision for the Applied AI Architect team.
  • Guide cross-functional teams through pre-sales, deployment, and adoption with measurable outcomes.
  • Act as escalation point with executive stakeholders for advanced technical challenges.
  • Promote innovative applications of AI technologies across sectors.
  • Ensure accountability for progress and clear ownership across delivery teams.

Skills

Technical leadership
Pre-sales leadership
Generative AI
ML solutions
Cloud architectures
Stakeholder management

Job description

OpenAI seeks a Manager, Applied AI Architect to lead a team of Applied AI Architects, guiding them from pre-sales discovery through deployment and adoption to deliver business impact. This role collaborates with Sales, Deployment, Product, Engineering, and Research to ensure a seamless customer journey.

The position requires 8+ years in technical customer-facing roles and 3+ years in leading pre-sales teams, with a track record in Generative AI or ML deployments.

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