Forward Deployed AI Engineer - Enterprise Lead

Key Responsibilities

• Lead the technical success of complex enterprise AI deployments, either across one large customer engagement or a portfolio of smaller accounts, often spanning multiple use cases, production systems, workstreams, and teams
• Set technical direction across engagements, ensuring architecture, system behavior, evaluation strategy, integrations, and operational practices remain coherent as deployments grow
• Develop Forward Deployed AI Engineer Leads, senior ICs, and emerging technical leaders, raising the bar for technical judgment, code quality, customer communication, and production ownership
• Serve as the senior technical partner to customer executives, enterprise architects, and business partners, building trust through clear communication, sound judgment, and reliable delivery
• Maintain technical proximity to live systems by reviewing designs, interrogating system behavior, debugging critical issues, guiding evaluation strategy, and participating in incident reviews and production quality improvements
• Use AI-native engineering practices to increase your own leverage and model effective use of AI tools for design, implementation, debugging, analysis, experimentation, and operational improvement
• Partner with company leadership on staffing, organizational design, leadership development, and customer expansion as engagements grow from pilot to enterprise-scale deployment

Requirements

• 8+ years of software engineering experience, including experience leading technical teams through ambiguous, high-stakes production delivery
• Multi-team technical leadership experience across multiple teams, workstreams, accounts, or senior engineers
• Talent development experience coaching Tech Leads, senior ICs, and emerging leaders; prior people management experience strongly preferred
• Enterprise technical ownership with responsibility for whether complex technical deployments deliver durable customer value
• Technical proximity and judgment: ability to reason deeply about architecture, debugging, testing, observability, performance, maintainability, security, and code quality
• Customer and executive judgment: ability to communicate clearly with executives, IT leaders, data teams, and operational SMEs about system behavior, delivery tradeoffs, risks, and limitations
• AI-native working style: daily use of AI tools to write and debug code, explore designs, analyze data, automate repetitive work, and improve leverage
• Willingness to travel 20–40%

Compensation & Benefits

• Base salary range: $180K – $250K
• Meaningful equity
• 100% covered medical, dental, and vision for employees and dependents
• 401(k) with additional perks (e.g., commuter benefits, in-office lunch)
• Access to state-of-the-art models and generous usage of modern AI tools