As an AI Expert at our company, youll take full ownership of AI-powered product capabilities - from concept to production. Youll work closely with Product, Engineering, and Security domain experts to build practical, reliable AI systems that improve how teams operate and secure cloud environments. This is an applied role: we care about shipping, adoption, and measurable outcomes. Youll engage with users, test MVPs in production, iterate quickly based on feedback, and make sure what you build holds up in the real world. And yes youll also jump in as a Support Hero when needed, helping customers succeed and learning directly from how they work.
Key Responsibilities
Build and ship AI features that improve cloud security operations (e.g., control recommendations, drift detection explanations, guided remediation, policy generation, investigations, workflow automation).
Design and implement AI agents tuned for cloud-security tasks, including the surrounding framework (tools, permissions, orchestration, guardrails, and automation).
Apply deep understanding of cloud security domains (IAM, network controls, logging/telemetry, posture management, governance, misconfiguration, threat scenarios) to guide product decisions and ensure the AI behaves safely and correctly.
Integrate with multi-cloud APIs and security controls (AWS/Azure/GCP/OCI), building end-to-end flows from user intent → actionable outcome. Create and maintain evaluation methods for model quality (accuracy, coverage, hallucination rates, latency, cost, and user satisfaction) and build tooling to continuously measure performance in production.
Build data and feedback loops to keep systems relevant over time (user corrections, outcome tracking, regression testing, prompt/model iteration).
Stay current with practical advancements in LLMs/agents and engineering patterns, and adopt whats useful (not hype) into production.
Requirements: What Were Looking For
5 years of experience in cloud security, cloud engineering, or building security products for cloud environments.
Deep knowledge of public cloud security fundamentals, such as:
IAM (roles, policies, permissions boundaries, identity federation)
Network security (security groups, NACLs, firewall constructs, private connectivity)
Logging and monitoring (cloud audit logs, flows, detections, telemetry pipelines)
Governance and posture (misconfigurations, guardrails, policy-as-code concepts)
Strong coding skills with the ability to develop end-to-end production features (not just notebooks/POCs).
Hands-on experience building with modern AI systems (LLMs, retrieval, structured outputs, agents/tool use, evals) and a mindset for reliability, security, and guardrails.
Practical engineering instincts: you know how to trade off quality/speed/cost and ship incrementally without breaking trust.
Excellent communication and team collaboration skills; comfortable working cross-functionally.
Fluency in English.
Youll be a great fit if
You think like a product engineer: focused on impact, users, and shipping.
You love getting things done and taking ownership end-to-end.
Youre excited about building AI systems that operate safely inside real cloud environments - with real consequences and real customers.
This position is open to all candidates.