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# Staff AI Security Engineer

- **Company:** Spring Health
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $239,200.0 - $270,000.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Continuous Integration, Programming Tools, Software Product Management, Red Team (Cyber Security), Software Engineering, Large Language Models, Software Security, Git, Build Tools, Machine Learning Operations
- **Published:** June 9, 2026
- **Apply:** https://www.dice.com/job-detail/ef3ab56c-7ac1-47d4-8aa2-b1ddb6c1e38c

## About the Role

* 10+ years experience in a software engineering discipline, with at least 5+ years focused on security
 * Hands-on experience securing AI/ML systems, including practical AI red teaming against LLMs, agentic workflows, or RAG systems
 * Experience developing or implementing automated LLM vulnerability testing for prompt injection and data exfiltration
 * Strong foundation in application security principles, threat modeling, secure design, and identity and access control
 * Demonstrated ability to build tools and automation with a developer mindset
 * Experience influencing senior engineers and cross-functional stakeholders across product, legal, and compliance
 * Proven track record of mentoring engineers and cultivating a strong security culture across an organization
 * Strong working knowledge of modern developer tooling, CI/CD pipelines, and git-based collaboration
 * Ability to operate in ambiguity and translate emerging AI risks into pragmatic, scalable security controls
 * Deep personal ownership and a passion for advancing AI security through continuous learning

## Description

* Define and evolve our AI security strategy to protect highly sensitive mental health data across both product and corporate environments
 * Lead secure design and threat modeling for AI systems including LLMs, agentic workflows, and retrieval pipelinesIdentify and mitigate risks such as prompt injection, data exfiltration, model abuse, and privilege escalation
 * Build scalable AI security guardrails and tooling that enable safe experimentation across engineering and business teams
 * Establish AI-specific governance frameworks covering identity, access control, auditability, and observability
 * Take ownership of and lead our AI Red Team to proactively identify vulnerabilities
 * Design and implement AI observability pipelines to detect anomalous model behavior and policy violations in near real-time
 * Develop and operationalize AI incident response playbooks to ensure rapid containment of security events
 * Partner with product and engineering teams to enable responsible AI innovation in a hyper-growth environment
 * Champion a culture of secure AI development by mentoring engineers and defining high standards for the organization

What success looks like in this role

 * 80% of new AI product features are threat modeled prior to GA
 * 80% of AI features are tested by the AI Red Team or equivalent adversarial testing before GA
 * Achieve >=70% coverage of production AI features with automated LLM vulnerability testing
 * Grow participation in the AI Red Team by 10% YoY
 * Develop AI incident response playbooks and conduct at least one AI-focused tabletop or live simulation per year


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