Senior Engineer, Product/AI Security

GEICO

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Bethesda, MDPalo Alto, CADallas, TXSeattle, WA
Salary
$100,000–$215,000 / yr
Posted
2 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $183k
This role $158k
$86k most similar roles pay here $229k

This role pays less than 66% of similar roles. Most pay $149,500–$215,600 — the shaded band above. At the midpoint, this role pays about $158k versus about $183k for comparable roles.

Based on 240 similar postings.

Employer

About GEICO

GEICO (Government Employees Insurance Company) is one of the largest auto insurers in the United States, offering affordable auto, home, renters, and other personal insurance products. Industry: Insurance

GEICO currently has 81 open roles on FindRole.

Listed pay typically runs $110,000–$230,000 across 79 roles with salary data.

Most-posted roles

View all roles at GEICO

At a glance

TL;DR · Senior Engineer, Product/AI Security

Senior Engineer - Product/AI Security As a Senior Engineer on the security team, you will strengthen the security of AI-enabled products and supporting engineering platforms. This role combines product security judgment with hands-on software development to protect agentic workflows, RAG systems, and data flows. You will perform threat modeling, conduct secure design reviews, and build automated security services and developer tooling. The role requires proficiency in Python, SQL, and tools like GitHub, PostgreSQL, and various AI-assisted development platforms such as Cursor or Copilot. You will translate complex business needs into technical requirements while ensuring robust authentication, authorization, and data protection. Your work focuses on mitigating risks associated with AI models, prompts, and model context protocols. By integrating security controls into the development lifecycle, you ensure that AI-enabled systems remain secure, reliable, and compliant within a production environment.

What does a Engineer earn in California?

Median $212200 from 95 postings across 28 companies.

See salary data

What you'll do

  • Perform threat modeling and security architecture reviews for AI-enabled applications, data flows, and agentic workflows.
  • Review code and designs for authentication, authorization, input validation, and other critical security concerns.
  • Design, build, test, and troubleshoot production-ready security services, automation, and developer tooling.
  • Translate business needs and security requirements into clear technical requirements and actionable implementation plans.
  • Assess security risks associated with AI models, prompts, retrieval-augmented generation (RAG), and model context protocols.
  • Build automated safeguards and evaluation workflows to identify and reduce AI and application security risks.
  • Provide technical leadership and guidance to engineering teams on secure design and product security practices.
  • Document technical decisions, operating procedures, and lessons learned to ensure solutions are maintainable by the team.

What we're looking for

  • Solid professional experience in software engineering, security engineering, product security, application security, or a related technical field.
  • Hands-on experience writing, reviewing, testing, and troubleshooting code with proficiency in Python or a comparable modern programming language.
  • Experience with full-stack or platform development using GitHub, Git, terminal/CLI workflows, APIs, PostgreSQL, and automated testing.
  • Practical experience conducting threat modeling, secure design reviews, architecture reviews, or secure code reviews.
  • Working knowledge of application and API security risks, authentication patterns, input validation, logging, and secure SDLC practices.
  • Proven ability to validate AI-generated outputs and ensure they meet standards for security, quality, and reliability.
  • Experience working in an Agentic Development Environment using tools like Cursor, Claude Code, or GitHub Copilot.
  • Experience building or securing generative AI, RAG systems, or AI-enabled developer workflows (preferred).

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