AI/ML Lead Engineer
Primary Responsibilities
- Define the AI Roadmap: Collaborate with founders and Product Leads to translate business goals into a technical AI strategy, prioritizing high-impact capabilities for cloud security.
- Architect & Lead Development: Take full ownership of the AI-powered product architecture, from the core LLM orchestration to production deployment and monitoring.
- Mentor and Grow the Team: Lead code reviews, establish engineering best practices for ML/AI, and mentor other engineers to foster a culture of technical excellence.
- Design Advanced AI Agents: Lead the creation of specialized, autonomous agents for cloud-security tasks, ensuring they operate within strict frameworks of permissions, guardrails, and safety.
- Champion Multi-Cloud Integration: Oversee the end-to-end flows from "user intent" to "actionable outcome" across AWS, Azure, GCP, and OCI at an enterprise scale.
- Establish Rigorous Evals: Define and maintain the framework for measuring model quality (accuracy, hallucination rates, latency, and cost) and ensure these metrics drive our iteration cycles.
- Applied Innovation: Stay ahead of the curve in LLMs/Agents, evaluating new papers and technologies to adopt what is practical and secure, while ignoring the hype.
Qualifications / Skills / Experience
We evaluate the following in candidates for this role:
- 5+ years of experience in cloud security, cloud engineering, or building complex security products for cloud environments.
- Proven Leadership: Previous experience leading technical teams or serving as a Lead Engineer on high-stakes AI/ML projects.
- Expert Cloud Security Knowledge: Deep, hands-on understanding of IAM (policies, federation), Network security, and Cloud Governance (Policy-as-Code).
- Elite Coding & Architecture Skills: Ability to design and implement end-to-end production systems that are scalable, maintainable, and secure.
- Senior AI Expertise: Extensive experience building with modern AI stacks (LLMs, RAG, structured outputs, agentic workflows, and custom evaluation frameworks).
- Pragmatic Instincts: Expert at making trade-offs between speed, cost, and quality, with a "shipping" mindset that never compromises customer trust.
- Exceptional Communication: Ability to articulate complex technical visions to both engineers and non-technical stakeholders.
- Language Skills: Working fluency in English is required; Spanish is a plus.
Good to have
- Experienced with Azure, or Google Cloud
- Skilled in advanced Cloud Security frameworks
- Experience with advanced ML Ops
- Background in Open Source projects
How will you know you are successful in this role?
- Architectural Excellence: The AI infrastructure you design is recognized by the team as robust, scalable, and easy to build upon.
- Team Velocity & Growth: You have successfully unblocked and mentored other engineers, increasing the team's ability to ship high-quality AI features.
- Industry-Leading Reliability: Our AI agents are trusted by customers to operate in sensitive cloud environments with minimal error rates.
- Strategic Impact: You can demonstrate a direct link between your technical decisions and the company’s growth in the multi-cloud security market.
Why join Prowler
- Opportunity to work with a rapidly growing and innovative company in the cloud security industry.
- Fully remote work, allowing for a flexible and collaborative environment.
- Competitive compensation package.
- Continuous learning and professional development opportunities.
- Be part of a dynamic team that values creativity and innovation.
Work Hours & Benefits
This is a full time, salaried position writing, testing, reviewing, and operating code at scale. Prowler is fully remote and distributed, spanning all U.S. time zones and several in E.U. This necessitates individuals taking responsibility for their working hours and broadcasting availability to colleagues. Mandatory minimum PTO (shoot for ~5 weeks; anything less than 4 weeks/year is unacceptable), workstation/home office stipend per year, flexible working hours, and stock options are some of our other benefits.
Hiring Process
- Intro/Technical Screen: If you are interested in this role, we would love to meet you for a 30 min call with one of our founders or tech leads. You will be invited to talk about your experience and the challenges you have faced as a professional. (30 minutes)
- Cultural Interview: We have a generative, diversity-focused culture that highly prioritizes context over control. Not everyone prefers this type of environment, and this interview ensures that you are comfortable with the freedoms and responsibilities we expect of our colleagues, and that you can thrive here. (1 hour)
- Architecture & AI Deep Dive: A practical session focused on designing a complex AI agent system or solving an architectural challenge within a cloud security context. (1 hour)