Senior Security Engineer I, AI

Oscar Health

Confirmed live 2 days ago High trust

Hybrid

Quick summary

Work type: Hybrid
Location: New York, NY
Salary: $163,944–$215,176 / yr
Posted: 56 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $182k

This role $190k

$121k most similar roles pay here $226k

This role pays more than 65% of similar roles. Most pay $151,475–$212,000 — the shaded band above. At the midpoint, this role pays about $190k versus about $182k for comparable roles.

Based on 240 similar postings.

Employer

About Oscar Health

Oscar Health is a technology-driven health insurance company offering individual, family, and small business health plans.

Oscar Health currently has 70 open roles on FindRole.

Listed pay typically runs $149,040–$195,615 across 65 roles with salary data.

Most-posted roles

View all roles at Oscar Health

At a glance

TL;DR · Senior Security Engineer I, AI

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As a Senior Security Engineer I, AI, you will join the Security Engineering team to safeguard the digital ecosystem and oversee the secure deployment of artificial intelligence. You will collaborate with Data, Engineering, Privacy, HR, and Compliance teams to architect security solutions and proactive guardrails for safe AI innovation and enterprise model adoption. Your daily responsibilities include spearheading a secure AI data and model lifecycle, implementing automated controls against prompt injection and model poisoning, conducting red-teaming exercises based on MITRE ATLAS and OWASP Top 10 for LLMs, and developing metrics to report on security initiatives. You will utilize skills in cloud security infrastructure, AWS/GCP IAM boundaries, and frontier AI technologies like Claude Code and Codex while navigating the complexities of health insurance data regulations such as HIPAA.

What does a Security Engineer earn?

Median $185250 from 84 postings across 39 companies.

See salary data

Skills

LLM RAG AI Security Prompt Injection Model Poisoning MITRE ATLAS OWASP Top 10 AWS GCP IAM Cloud Security Application Security Data Security HIPAA red-teaming

What you'll do

Develop a comprehensive security framework for AI model adoption, training data pipelines, and RAG architectures.
Implement automated controls to mitigate risks like prompt injection, model poisoning, and data exfiltration.
Enforce least-privilege principles across LLMs and agentic workflows.
Lead proactive AI red-teaming exercises and map adversarial tactics against industry frameworks like MITRE ATLAS.
Create metrics and reporting frameworks to evaluate the impact of AI safety policies for executive stakeholders.
Establish secure-by-default blueprints for application and data engineering teams to ensure safe AI adoption.
Manage code independently across multiple enterprise repositories while ensuring compliance with health insurance regulations.

What we're looking for

Bachelor's degree in a technical discipline such as Computer Science, Data Science, or Cybersecurity.
4+ years of experience in technical security engineering, application security, cloud security infrastructure, or software engineering.
Experience with data security or AI frameworks is required.
Ability to manage code independently across multiple enterprise repositories.
Proficiency in evaluating LLM security postures and implementing alignment guardrails.
Experience managing cloud security infrastructure including AWS/GCP IAM boundaries.
Familiarity with health insurance data regulations such as HIPAA.
Ability to communicate technical AI risk requirements to non-technical business partners, legal, and compliance teams.