Staff Security and AI Engineer

Our mission: to eliminate every barrier to mental health. At Spring Health, we’re on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it. Our clinically validated technology, Precision Mental Healthcare , empowers us to deliver the right care at the right time—whether it’s therapy, coaching, medication, or beyond—tailored to each individual’s needs. We proudly partner with over 450 companies, from startups to multinational Fortune 500 corporations, as a leading provider of mental health service, providing care for 10 million people. Our clients include brands you use and know like Microsoft, Target, and Delta Airlines, all of whom trust us to deliver best-in-class outcomes for their employees globally. With our innovative platform, we’ve been able to generate a net positive ROI for employers and we are the only company in our category to earn external validation of net savings for customers. We have raised capital from prominent investors including Generation Investment, Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership and our latest Series E Funding, our current valuation has reached $3.3 billion. We’re just getting started—join us on our journey to make mental healthcare accessible to everyone, everywhere. We are actively seeking a Staff AI Security Engineer to join our team. Reporting to the CISO, you will define and evolve our AI security strategy to protect highly sensitive mental health data across both product and corporate environments. Please note that this is a full-time hybrid role based in San Francisco , with an expectation to be in office 2-3 days a week. Our office is located at 2 Embarcadero Ctr. What you’ll do 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 eventsPartner 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 testingGrow 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 What you’ll bring 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 exfiltrationStrong 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-fun ... (truncated, view full listing at source)