Lead AI Engineer

Webflow

7h • $204,500 - $290,000 • Remote

About The Position

At Webflow, we’re building the world’s leading AI-native Digital Experience Platform, and we’re doing it as a remote-first company built on trust, transparency, and a whole lot of creativity. This work takes grit, because we move fast, without ever sacrificing craft or quality. Our mission is to bring development superpowers to everyone. From entrepreneurs launching their first idea to global enterprises scaling their digital presence, we empower teams to design, launch, and optimize for the web without barriers. We believe the future of the web, and work, is more open, more creative, and more equitable. And we’re here to build it together.
As AI becomes foundational to how work gets done at Webflow, our Enterprise AI Operations team ensures AI is adopted safely, responsibly, and with measurable impact across the company. We focus on internal AI use cases, enabling teams and executives to work more effectively through production-grade AI workflows.
We’re looking for a Lead AI Engineer to help us transform Webflow into a truly AI-native organization by architecting and operationalizing trusted, production-grade AI systems that reshape how work gets done and drive measurable enterprise impact - with direct impact at the executive level.
About the role:
Location: Remote-first (United States)
Full-time
Permanent
Exempt
The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. We've structured the base pay ranges for this role into zones for our geographic markets, and the specific base pay within the range will be determined by the candidate’s geographic location, job-related experience, knowledge, qualifications, and skills.

United States (all figures cited below are in USD and pertain to workers in the United States)
Zone A: $232,000 - $290,000
Zone B: $217,500 - $272,000
Zone C: $204,500 - $256,000
This role is also eligible to participate in Webflow's company-wide bonus program. Target amounts are a percentage of base salary and vary by career level. Payouts are based on company performance against established financial and operational goals.
Please visit our Careers page for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
Application Information:
Application deadline: applications accepted on an ongoing basis until position is closed and filled
This posting is for a new position

Requirements

• 7-10+ years of professional software engineering experience designing, building, and operating complex production systems in cloud environments (or equivalent practical experience).
• Proven experience building and deploying AI-powered systems in production, including agent-based or multi-step workflows (RAG, orchestration, tool-calling, memory strategies, evaluation, and failure handling).
• Strong proficiency in modern programming languages (e.g., Python, TypeScript) with demonstrated ability to write clean, maintainable, production-quality code.
• Deep engineering discipline across clean architecture, distributed systems, APIs, CI/CD, testing strategies, and production observability.
• Experience partnering directly with senior or executive stakeholders, translating ambiguous ideas into scalable, technically sound solutions with measurable impact across enterprise systems.

Nice To Haves

• Possess familiarity with AI governance, data classification, prompt injection risks, access control models, and enterprise compliance standards, with a track record of partnering with Security on safe deployment
• Take pride in building AI systems that senior leaders rely on for real decisions — where accuracy, clarity, and trust are non-negotiable
• Thrive in high-visibility environments where your work directly informs executive decisions and company strategy
• Operate with extreme ownership - you don’t wait for perfect specs, and you don’t require tight management loops to deliver meaningful outcomes
• Are comfortable turning loosely defined ideas into structured, production-ready solutions
• Balance technical depth with pragmatism, knowing when “dependable and scalable” is more valuable than “cutting-edge”
• Hold a high bar for engineering quality, recognizing that executive-facing AI systems must be reliable, explainable, and defensible
• Communicate with precision, empathy, and confidence - especially with senior stakeholders
• Think beyond individual workflows and consider long-term enterprise implications, platform reuse, and systemic AI maturity
• Stay curious and open to growth while remaining thoughtful about AI risk, governance, and responsible adoption

Responsibilities

• Serve as the primary AI engineering partner to the CEO and executive leadership team, translating ideas, strategic questions, and emerging concepts into production-ready AI agents and workflows with minimal oversight.
• Independently take ideas from concept to production, shaping problem statements, designing system architecture, implementing code, validating outputs, and operationalizing solutions without requiring heavy product or engineering management.
• Design and implement complex, multi-step agentic workflows, including multi-agent orchestration, retrieval-augmented generation (RAG), tool use, memory strategies, evaluation frameworks, and cross-system automation.
• Develop production-grade AI systems using modern LLMs, orchestration frameworks, and internal tooling, with strong attention to scalability, performance, observability, and clean engineering practices.
• Operationalize AI responsibly by implementing guardrails, structured evaluations, monitoring, and validation layers to ensure predictable behavior, reliability, and compliance.
• Partner closely with Security and Legal to properly gate sensitive use cases, implementing access controls, audit logging, data minimization, and enterprise-grade governance patterns while balancing safety and speed.
• Translate ambiguous, high-visibility problems into clear technical solutions, balancing speed, quality, and risk while maintaining a high bar for accuracy and trust.
• Evaluate, select, and rationalize AI tools and platforms, contributing to capability-to-tool decisions and ensuring consolidation, security alignment, and long-term sustainability across the enterprise.
• Support post-launch adoption and iteration, incorporating feedback, refining workflows, and continuously improving performance, usability, and measurable impact.
• Contribute to org-wide AI maturity by documenting architectural patterns, sharing best practices, and establishing repeatable approaches that elevate internal AI capabilities across Webflow.

Benefits

• Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company.
• Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums.
• Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions.
• Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired.
• Wellness for the whole you. Access to mental health resources, therapy and coaching.
• Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally.
• Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts.
• Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.

What This Job Offers

• Job Type: Full-time
• Career Level: Executive
• Education Level: No Education Listed