Spring Health
Healthcare
StaffAISecurityEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Staff AI Security Engineer at Spring Health. Skills: AI Security, LLM Security, Threat Modeling, Red Teaming. Define AI security strategy. Evolve AI security strategy”
What You'll Achieve.
80% new AI features threat modeled; 80% AI features tested; >=70% production AI features tested; Grow AI Red Team participation 10%; Develop AI incident response playbooks; Conduct AI tabletop simulation
Industry & Context.
Root cause analysis
Based in Seattle metro, Relocate within 90 days, Occasional travel
What They're Looking For.
Must Have
10+ years software engineering, 5+ years security focus, Hands-on AI/ML security, AI red teaming, Automated LLM vulnerability testing, Application security principles, Threat modeling, Secure design, Identity and access control, Build tools and automation, Influence senior engineers, Influence cross-functional stakeholders, Mentoring engineers, Cultivate security culture, Modern developer tooling, CI/CD pipelines, Git-based collaboration, Operate in ambiguity, Translate AI risks, Pragmatic security controls, Deep personal ownership, Advance AI security, Continuous learning
Nice to Have
Experience with LLMs, Experience with agentic workflows, Experience with RAG systems, Working knowledge of modern developer tooling, Working knowledge of CI/CD pipelines, Working knowledge of git-based collaboration
What You'll Do.
Define AI security strategy
Evolve AI security strategy
Protect mental health data
Build AI security guardrails
Build AI security tooling
Enable safe experimentation
Establish AI governance frameworks
Take ownership of AI Red Team
Proactively identify vulnerabilities
Design AI observability pipelines
Operationalize AI incident response
Develop AI incident response playbooks
Partner with product teams
Partner with engineering teams
Enable responsible AI innovation
Champion secure AI development
Define high standards
How You'll Work.
Team & Collaboration
Cross-functional stakeholders; Product teams; Engineering teams; Legal teams; Compliance teams
Full Job Description
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 hybrid role based in Seattle, with an expectation to be in the office 2–3 days per week at our 255 King St location. Candidates must be based in the Seattle metro area or able to relocate independently within 90 days of their start date. Occasional travel will be required for team on-sites. What you’ll do Define and evolve our AI security strategy to protect highly sen
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