AI Engineer (Enterprise Lead)

Join Distyl as an AI Engineer (Enterprise Lead), where you will be responsible for the technical success of complex enterprise AI deployments. You will lead the technical direction across engagements, develop AI Engineer Leads and senior engineers, and serve as the senior technical partner to customer executives. This role requires a strong background in software engineering, multi-team technical leadership, and a willingness to travel. Benefits include equity options, healthcare, and a collaborative work environment focused on personal and professional growth.

• Lead the technical success of complex enterprise AI deployments, ensuring architecture, system behavior, evaluation strategy, integrations, and operational practices remain coherent.
• Develop 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.
• 8+ years of software engineering experience, including experience leading technical teams through ambiguous, high-stakes production delivery
• Talent development. You raise the capability of the engineers around you. You can coach Tech Leads, senior ICs, and emerging leaders, and you know how to build a talent-dense engineering team over time. Prior people management experience is strongly preferred, but not required if you have demonstrated organizational leadership across multi-team engineering efforts
• Multi-team technical leadership. You have led technical execution across multiple teams, workstreams, accounts, or senior engineers. You know how to create clarity, set standards, develop leaders, and keep teams aligned without becoming a bottleneck
• Willingness to travel. Travel is typically 20–40%, depending on the project, customer needs, and your role on the engagement
• Enterprise technical ownership. You take responsibility for whether complex technical deployments deliver durable customer value. You can reason across architecture, delivery risk, team capability, customer constraints, system behavior, and production operations
• Customer and executive judgment. You can operate effectively in high-trust, high-visibility customer environments. You communicate clearly with executives, IT leaders, data teams, and operational SMEs about system behavior, delivery tradeoffs, risks, and limitations
• AI-native working style. You use AI tools daily to write and debug code, explore designs, analyze data, automate repetitive work, and improve your own leverage. You are curious about new model capabilities and actively incorporate them into how you lead and build
• Technical proximity and judgment. You can still reason deeply about production software. You understand architecture, debugging, testing, observability, performance, maintainability, security, and code quality. While you mostly operate through your teams, you are willing and able to do selective, high-leverage technical work when it materially improves outcomes