[Hiring] Lead AI Engineer, Enterprise AI Operations @Webflow

Role Description

As a Lead AI Engineer, Enterprise AI Operations you’ll …

• 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.

Qualifications

• 7-10+ years of professional software engineering experience designing, building, and operating complex production systems in cloud environments or equivalent practical experience as outlined.
• 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.

Requirements

• 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.

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.