Director, Applied AI Engineering- Enterprise

<p>Following a record-breaking Q4 2025—our strongest revenue quarter to date, with Enterprise delivering our largest bookings ever—we are accelerating enterprise adoption of frontier data and models through complex, production-grade AI agents.</p> <p>The Applied AI team works on the front lines of the AI revolution, partnering deeply with customers to identify high-impact business problems and build cutting-edge AI systems using Scale’s proprietary research, data, and infrastructure—unlocking domain expertise through high-quality data and expert feedback.</p> <p>As <strong>Director of Applied AI</strong>, you will own the strategy, execution, and growth of a high-impact organization, working directly with some of the world’s most sophisticated enterprises to translate generative AI breakthroughs into measurable business outcomes through team building, technical leadership, and deep customer partnerships.</p> <p>This role is ideal for a leader who thrives in ambiguity, understands both frontier GenAI capabilities and their limitations, and is motivated by turning research into durable, production-ready systems.</p> <h3><strong>What You’ll Do</strong></h3> <ul> <li><strong>Drive enterprise impact with GenAI</strong>: Partner directly with customers to identify high-leverage opportunities for generative AI, design solutions, and deliver production systems that create clear business value.</li> <li><strong>Lead and scale a GenAI-native Applied AI organization</strong>: Build, mentor, and manage multiple teams of Applied AI Engineers and ML Engineers who are native to modern GenAI technologies, agentic systems, and multimodal models.</li> <li><strong>Set technical and strategic direction</strong>: Define best practices for agent development, evaluation, deployment, and iteration across customer engagements and internal product efforts.</li> <li><strong>Bridge frontier research to real-world applications</strong>: Translate advances in LLMs, multimodal models, and agentic workflows into practical, scalable solutions across industries.</li> <li><strong>Discover model limitations and inspire innovation</strong>: Identify failure modes, inefficiencies, and gaps in current models; use these insights to influence internal research, product roadmaps, and customer strategy.</li> <li><strong>Partner cross-functionally</strong>: Work closely with Product, Research, Sales, and Leadership to shape Applied AI offerings, prioritize investments, and guide long-term platform evolution.</li> <li><strong>Influence the broader AI ecosystem</strong>: Represent Scale’s Applied AI capabilities with customers and partners, and help position Scale as a trusted leader in enterprise GenAI deployment.<br><br></li> </ul> <h3><strong>What We’re Looking For</strong></h3> <h3><strong>Core Qualifications</strong></h3> <ul> <li>8+ years of experience building, deploying, and scaling ML systems in production, including Enterprise-grade Gen AI and agentic applications</li> <li>6+ years of people leadership experience, including managing managers and leading multi-team organizations delivering customer-facing AI products</li> <li>Deep applied expertise in Gen AI, including LLM-based systems, agent orchestration, evaluation and reliability frameworks, and production system design </li> <li>Experience owning end-to-end AI product delivery—from problem definition and technical architecture to deployment, iteration, and scaling</li> <li>Strong technical judgment across software engineering, system design, and applied ML fundamentals</li> <li>Exceptional communication and stakeholder management skills, with the ability to influence executives, customers, and cross-functional partners</li> <li>Bachelor’s degree required; Master’s or PhD in Computer Science or a related field strongly preferred<br><br></li> </ul> <h3><strong>Nice to Have</strong></h3> <ul> <li>Hands-on experience building and deploying agent-based, tool-augmented, or workflow-driven LLM systems in enterpris ... (truncated, view full listing at source)