Lead Engineer, AI Security

Target

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Brooklyn Park, MN
Salary
$132,000–$238,000 / yr
Posted
3 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $186k
This role $185k
$119k most similar roles pay here $251k

This role pays more than 53% of similar roles. Most pay $157,087–$214,500 — the shaded band above. At the midpoint, this role pays about $185k versus about $186k for comparable roles.

Based on 240 similar postings.

Employer

About Target

Target Corporation is a large-format general merchandise and grocery retailer offering a wide assortment of everyday essentials, apparel, home goods, and electronics through stores and online. Industry: General Merchandise Retail

Target currently has 64 open roles on FindRole.

Listed pay typically runs $98,000–$176,000 across 64 roles with salary data.

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At a glance

TL;DR · Lead Engineer, AI Security

As a Lead Engineer on the AI Security team, you will collaborate with technical and leadership teams to assess, validate, and improve the security of AI systems and platforms. You will identify risks in existing implementations, perform architectural reviews, and develop security assessment methodologies, testing frameworks, and assurance standards for AI technologies. Your daily work involves executing validation strategies like threat modeling and adversarial testing while providing guidance on prompt injection defenses, model security, and data protection. The role requires expertise in LLM Security (RAG, MCP, input validation), OWASP Top 10 for Large Language Model Applications, and containerization. You will utilize tools across GCP, AWS, or Azure environments to secure AI workloads. Key technical competencies include cloud security, network security, IAM, automation, SIEM, cryptography, and experience with NIST or ISO/IEC 27001 standards.

What you'll do

  • Assess, validate, and improve the security of AI systems and platforms across the enterprise.
  • Identify security risks, gaps, and vulnerabilities in existing AI implementations and architectures.
  • Develop and execute security validation strategies including threat modeling, attack simulation, and adversarial testing.
  • Conduct deep technical reviews of AI products to provide actionable recommendations for strengthening security posture.
  • Provide expert guidance on LLM security, including prompt injection defenses and data protection.
  • Partner with engineering teams to validate secure deployment patterns for AI workloads in cloud and hybrid environments.
  • Create security assessment methodologies, testing frameworks, and assurance standards for AI technologies.
  • Communicate complex security risks and prioritized remediation plans to technical and leadership stakeholders.

What we're looking for

  • A 4-year degree or equivalent experience is required.
  • Must be a software developer comfortable in several programming languages across different platforms.
  • Requires 7+ years of hands-on experience in technology with deep knowledge of multiple cybersecurity domains.
  • Must possess LLM security expertise including RAG, MCP, input validation, and sandboxing.
  • Must have an in-depth understanding of OWASP Top 10 for Large Language Model Applications.
  • Requires a solid understanding of containerization technologies, network security, cryptography, and secure software development.
  • Must have knowledge of security frameworks such as NIST or ISO/IEC 27001.
  • Experience with GCP native products, Vertex AI, AWS, or Azure is preferred.

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