About the role Scale's Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. As a Staff Applied AI Engineer, you'll raise the bar for how AI gets built, governed, and evaluated across the team. You'll define standards that other engineers adopt, such as evaluation methodologies for agents and MLOps practices, while acting as the senior technical voice for the most sensitive AI decisions our clients face. What you'll do Define standards for responsible AI, model governance, and production MLOps that get adopted broadly across the Global Public Sector team Build or validate the highest-risk parts of strategic AI systems and use those systems to establish standards other teams can adopt. Architect AI systems designed to prevent systemic failure, and lead the resolution of the most severe incidents tied to model safety or data integrity Build reusable AI capabilities, such as production-ready agent implementations built on proven architectures, fine-tuned models, or evaluation methodologies, that other engineers and clients can build on Advise on which new AI developments are worth adopting, and help set the technical roadmap for the domain Act as the senior technical partner to client leadership on AI strategy Coach Senior Applied AI Engineers, delegate ownership of technical domains, and build systems and practices that enable multiple teams to deliver safer AI Contribute to recruiting and representing Scale's AI work externally What we look for 7+ years of engineering experience, with a multi-year track record owning AI/ML systems in production Experience judging the quality of training data, selecting the right adaptation method for a given model, evaluating fine-tuning results, and balancing serving cost, latency, and quality trade-offs Experience owning an AI-powered product end to end, including direct involvement in the AI's behaviour rather than implementing ML work scoped by another team A tr
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About the Team The AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with customers across industries and digital-native businesses to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. Within Education, we partner with universities, schools, research institutions, and countrywide education systems to advance responsible, mission-aligned uses of AI. These environments require more than technical deployment: success depends on institutional trust, thoughtful governance, stakeholder education, change management, a
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Skills & requirements
Qualification
sector fluency, sound architectural judgment, and the ability to move confidently between executive strategy, academic and operational workflows, and hands-on technical conversations. In this role, you will: Serve as the primary technical advisor and long-term technical relationship owner for a named portfolio of existing education customers and pre-sales prospects. Partner with Account Directors on account strategy while owning the technical account plan, technical milestones, adoption priorities, value-realization path, and expansion opportunities. Lead discovery with institutional executives, academic leaders, researchers, faculty, administrators, and technical teams to identify and prioritize use cases connected to meaningful institutional objectives. Translate education priorities into clear Applied AI Architectures spanning models, applications, institutional data, identity, integrations, security, privacy, governance, evaluation, and deployment. Guide institutions through technical evaluations, demonstrations, workshops, prototypes, and proofs of value, building confidence in both the solution and its responsible path to production. Translate institutional objectives into ac
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OpenAI
FONDER L'INNOVATION (depuis 1984) Partie I [le début n'avait même pas 2 fin.s] : The Book of.f MandaloriÂn.e Studio d'innovation ouvert.e (Open Innovation) issu de la fusion des activités du bureau d'étude (BE) de la marque 2 fabrique OPENAI (Open Ahead Inspiration) créée initialement à Genève (CH)
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