Forward Deployed AI Engineer - Lead

Responsibilities

• Lead and mentor a team of Forward Deployed AI Engineers-owning technical direction, code quality, execution standards, and individual growth
• Design and implement AI systems that combine models, agents, retrieval, evaluation, and execution into coherent, production-ready systems aligned with real business outcomes
• Work directly with customer stakeholders, often in high-visibility settings, and communicate clearly about system behavior, tradeoffs, limitations, and paths to improvement
• Operate and improve live AI systems by measuring behavior, identifying failure modes, debugging issues, and rapidly iterating on quality, reliability, and usefulness
• Integrate AI systems into customer data platforms, APIs, and existing applications. Make pragmatic system design decisions that balance speed, robustness, maintainability, and long-term operability
• Take accountability for outcomes in production and adapt systems as requirements evolve

Requirements

• This role is for engineers who want ownership over production outcomes: shaping system architecture, leading technical execution, working directly with customers, and improving AI systems under real-world constraints.
• 5+ years of engineering experience, including experience as a tech lead or engineering lead on customer-facing or production AI projects
• Ownership mentality for AI systems. You take responsibility for whether an AI system delivers its intended value in production. You are comfortable making independent technical decisions across system design, evaluation, integration, and iteration
• Technical leadership in teams. Management experience is not required, but you should have led engineers through technical decision-making, execution, mentorship, and delivery. Growth in this role includes taking on broader technical and leadership scope over time
• Strong solutions architecture fundamentals: You have experience with cloud systems, system integrations, API design, and data engineering. You can understand how an AI system fits into a broader enterprise ecosystem and operate as a peer to customer architecture and engineering teams
• AI-Native Working Style: You use AI tools daily to write and debug code, explore designs, analyze data, and automate repetitive work. You are curious about new model capabilities and techniques, and actively incorporate them into how you build and iterate on systems
• Willingness to travel: Travel is typically 10-30%, depending on the project, customer needs, and your role on the engagement

Benefits

Additional Information

About Distyl AI Distyl is an applied AI technology company partnering with the world's most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations. We research and deploy technologies that power AI-native operations - both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations - from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys. Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. The results reflect this approach: a 100% production deployment success rate for our customers and one of the few enterprise AI companies to run a profitable business.

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