AI Security Engineer - Taiwan

Obsidian Security · Taipei, Taiwan

  • Junior
  • Full-time
  • Posted 2026-09-02
  • Confirmed live on 25 September 2026

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Job description

Obsidian Security is a global leader in cyber security protecting the SaaS and non-human identity layer modern enterprises run on — from Salesforce and Snowflake to the AI agents now deployed inside them. The Obsidian Security platform gives unified visibility into every human and machine identity, app, and integration across their SaaS estate, detects identity-based and supply chain attacks in real time, and enforces least-privilege access before it's exploited. Trusted by major Fortune 500 companies T-Mobile, Workday, Snowflake, and S&P Global, Obsidian ranked No. 95 on the 2025 Deloitte Technology Fast 500™, growing nearly 1000% from 2021–2024 — helping CISOs turn an unmonitored attack surface into one they can govern with confidence. Obsidian has also been recognized by Forbes as America's Best Startup Employers in 2026.

In August 2026, Obsidian raised $85 million in Series D financing led by Crescent Cove Advisors, with participation from existing investors including Greylock Partners, Menlo Ventures, Norwest Venture Partners, IVP, Wing Ventures, and GV — pushing Obsidian's valuation to $1.1 billion, crossing into unicorn status. Obsidian is using the funding to deepen its R&D in agentic AI security and extend its platform as the standard for governing what AI agents can access and do inside third-party applications.

With global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and fresh capital from its Series D behind it, Obsidian is scaling rapidly toward long-term growth and IPO readiness.

About the Role

AI is becoming the fastest-moving attack surface in the enterprise. Copilot, ChatGPT Enterprise, Gemini, Claude, and a growing wave of agentic tools are being connected to corporate SaaS applications faster than many security teams can evaluate them. These systems introduce broad OAuth scopes, opaque data flows, sensitive data exposure, and non-human identities that can act on behalf of employees.

Obsidian Security sits directly in the path of this shift.

As an AI Security Engineer in Taiwan, you will help define how Obsidian discovers, understands, and mitigates risks across AI and agentic platforms. You will research emerging threats, develop security and data models, and build highly available products that protect enterprise customers.

This is a hands-on role at the intersection of security research, data engineering, and product development. You will work directly with security telemetry and production systems because, in this rapidly evolving space, security judgment, data analysis, and engineering execution are inseparable.

You will collaborate closely with Security Research, Detection Engineering, Product Management, Data Platform, and Site Reliability Engineering teams across Taiwan, the US, the UK, and Australia.

What You’ll Do

• Develop deep expertise in how enterprise AI platforms—including ChatGPT Enterprise, Microsoft Copilot, Gemini, Claude, Glean, and agentic frameworks—authenticate, access data, request permissions, and interact with corporate SaaS applications.

• Research emerging AI security threats, including prompt injection, tool and agent misuse, RAG poisoning, insecure plugins, excessive agency, data leakage, over-permissioned integrations, and compromised non-human identities.

• Develop threat models for AI applications, agents, models, integrations, identities, permissions, tools, and data flows.

• Design data models that represent AI assets, identities, access relationships, permissions, activities, risks, and attack paths.

• Prototype and deliver production-grade AI security products and capabilities.

• Build backend services and APIs for AI asset discovery, security analysis, risk assessment, detection, investigation, and remediation.

• Build scalable pipelines that ingest, normalize, enrich, correlate, and analyze high-volume security telemetry.

• Write queries and analysis logic that transform raw activity and configuration data into actionable security findings.

• Develop detection rules and behavioral models for suspicious AI and agentic activity.

• Evaluate APIs, audit logs, authentication mechanisms, OAuth permissions, and security controls provided by AI platforms.

• Work with Product Management and customers to understand emerging use cases and turn ambiguous security problems into practical product capabilities.

• Partner with Detection Engineering and Security Research to validate threat hypotheses and improve detection coverage.

• Collaborate with platform and SRE teams to ensure services are secure, observable, highly available, and operationally efficient.

• Improve engineering productivity, pipeline performance, development velocity, and cloud cost efficiency.

• Contribute to technical designs, code reviews, testing strategies, operational readiness, and engineering standards.

• Share research and technical knowledge with engineering teams and help shape Obsidian’s long-term AI security stra

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