Special Projects - OCTO

<h4>Special Projects (Office of the CTO), Staff AI Engineer</h4> <h3><strong>About the Role:</strong></h3> <p>We're seeking an exceptional Staff AI Engineer to join our Office of the CTO's Special Projects team. This is a unique opportunity to work at the leading edge of AI research and development, building and iterating on cutting-edge AI agents and models that will shape our company's product vision and strategic direction. <strong>As a staff-level technical leader, you'll not only push the boundaries of what's possible with AI, but also set technical direction, influence architecture decisions across the organization, and mentor engineering teams.</strong> You'll have the freedom to explore emerging AI capabilities, prototype innovative solutions, and identify transformative opportunities for AI integration across our enterprise software platform.</p> <h3><strong>What You'll Do:</strong></h3> <p><strong>Technical Leadership Strategy</strong></p> <ul> <li><strong>Define technical vision and architecture for next-generation AI capabilities across the company</strong></li> <li><strong>Drive AI strategy discussions with the CTO and executive leadership, translating technical possibilities into business opportunities</strong></li> <li><strong>Set standards and best practices for AI development that influence teams organization-wide</strong></li> <li><strong>Lead cross-functional initiatives that span multiple teams and product areas</strong></li> </ul> <p><strong>Research Innovation</strong></p> <ul> <li>Design, build, and rapidly iterate on experimental AI agents and models to explore state-of-the-art capabilities</li> <li>Evaluate emerging AI research, architectures, and techniques for potential integration into our product ecosystem</li> <li>Translate cutting-edge research papers into practical implementations and proof-of-concepts</li> <li>Stay current with ML research publications and identify opportunities for competitive advantage</li> <li><strong>Establish evaluation methodologies and frameworks that become company standards</strong></li> </ul> <p><strong>Infrastructure Systems</strong></p> <ul> <li><strong>Architect enterprise-scale ML infrastructure for LLM training, evaluation, and deployment</strong></li> <li>Build robust evaluation and monitoring frameworks to measure model performance, safety, and business impact</li> <li><strong>Design for scalability from prototype to production, ensuring systems can handle enterprise workloads</strong></li> <li>Optimize inference latency and resource efficiency for production AI systems</li> <li>Develop reusable abstractions and tools that accelerate AI development across the organization</li> <li><strong>Make critical technical decisions on infrastructure, tooling, and platform choices</strong></li> </ul> <p><strong>Technical Development</strong></p> <ul> <li>Architect production-quality AI systems including RAG pipelines, agentic workflows, and multi-modal applications</li> <li>Build scalable microservices and data pipelines to support AI experimentation and deployment</li> <li>Integrate AI capabilities with existing enterprise systems, APIs, and data architectures</li> <li><strong>Solve the most complex technical challenges that other engineers escalate</strong></li> </ul> <p><strong>Strategic Impact Influence</strong></p> <ul> <li><strong>Partner with the CTO and senior leadership as a trusted technical advisor on AI strategy and roadmap</strong></li> <li>Work cross-functionally with ML experts, data infrastructure, and product stakeholders <strong>to drive alignment on technical direction</strong></li> <li>Identify high-impact opportunities where AI can create significant customer value</li> <li><strong>Mentor and develop senior and staff engineers across the organization on AI capabilities and best practices</strong></li> <li><strong>Represent the company externally through technical talks, blog posts, or industry engagement</strong></li> </ul> <h3><strong>What You Bring: ... (truncated, view full listing at source)