Forward Deployed AI Engineer - Lead

Key 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

• 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
• 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

Compensation & Benefits

• Base salary range: $180K-$250K, depending on experience, location, and level
• Eligible for meaningful equity
• Comprehensive benefits package: 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, generous usage of modern AI tools, and real-world business problems
• Ownership of high-impact projects across top enterprises