Senior Security Engineer I, AI
Oscar Health· enterprise· Health Insurance· Jul 16, 2026 · 3mo agoPosted 103 days ago
New York, New York, United States
Hybrid
Full-time
Senior
$164K–$215K
4+ years exp
Before you apply
Ghost Signal:
Open since July 16, 2026 — 103 days, and still accepting applications.
Job description
Hi, we're Oscar. We're hiring a Senior Security AI Engineer 1 to join our Security Engineering team.
Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.
About the role:
As Senior AI Security Engineer, you'll be at the forefront of safeguarding our digital ecosystem and shaping the secure deployment of artificial intelligence at Oscar. You will collaborate with dynamic teams across Data, Engineering, Privacy, HR, and Compliance to architect cutting-edge security solutions and proactive guardrails that drive safe AI innovation, secure enterprise model adoption, and protect our business from emerging adversarial threats.
You will report into the Director of Security Engineering
Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid
Pay Transparency: The base pay for this role is: $163,944- $215,176 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants and annual performance bonuses.
Responsibilities:
Spearhead a More Secure AI Data & Model Lifecycle: Lead the development and implementation of a comprehensive AI security framework encompassing secure model adoption, training data pipelines, retrieval-augmented generation (RAG) architectures, and fine-tuning environments to ensure robust safety and compliance.
Design and Implement Safer Guardrails & Contextual Access: Architect, deploy, and operationalize automated controls to mitigate risks such as prompt injection, model poisoning, data exfiltration, and insecure output handling while enforcing least-privilege principles across LLMs and agentic workflows.
Drive Strategic AI Security Initiatives & Threat Modeling: Lead proactive AI red-teaming exercises and map adversarial tactics against industry frameworks like MITRE ATLAS and the OWASP Top 10 for LLMs to continuously harden systems against modern vulnerabilities.
Measure and Report on AI Security Initiatives: Develop innovative metrics and reporting frameworks to evaluate the impact and organizational adoption of AI safety policies, providing clear, actionable insights for executives and ensuring strict accountability to compliance and legal stakeholders.
Champion AI Security Best Practices and Culture: Partner cross-functionally with application and data engineering teams to establish secure-by-default blueprints, helping employees responsibly harness AI technologies while establishing a strong security-first mindset.
Other duties as assigned.
Requirements:
4+ years of relevant experience in technical security engineering, application security, cloud security infrastructure, or software engineering with a distinct focus on data security or AI frameworks.
Bonus points:
Proven experience evaluating LLM security postures, implementing alignment guardrails, and managing cloud security infrastructure (AWS/GCP IAM boundaries).
Comfort and fluency with cutting-edge frontier AI technologies (e.g., Claude Code, Codex) and a strong aptitude for the continuous, rapid adoption of emerging AI engineering tools.
Experience communicating technical AI risk requirements and architectural implications clearly to non-technical business partners, legal, and compliance teams.
Ability to commit, review, and manage code independently across multiple enterprise repositories.
Familiarity with health insurance data regulations (e.g., HIPAA) and their intersections with automated data usage and generative model architectures.
Bachelor’s degree in a technical discipline (Computer Science, Data Science, Cybersecurity, or equivalent technical space).
This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here .
At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives.
Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.
Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.
Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant’s disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.
California Residents: For information about our collection, use, and disclosure of applicants’ personal information as well as applicants’ rights over their personal information, please see our Privacy Policy .
Application prep
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Benefits
Benefits detected in the listing.
Health Insurance
Dental
Vision
401(K)
Parental Leave
Wellness