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W2 Senior Application Security Engineer

Spear StaffingUnited States🇺🇸United StatesPosted 31 Jul 2026

Why This Role Stands Out

This remote Senior Application Security Engineer role offers an exciting opportunity to shape the future of AI security, leveraging your deep technical expertise in a highly collaborative environment. You'll thrive here if you have a strong background in AI/ML security and a passion for proactively protecting cutting-edge technologies, making a significant impact on the company's innovative AI initiatives.

Quick Overview

Work Type
Remote
Level
Mid Senior

Job Description

W2 Senior Application Security Engineer

Introduction:

This role involves assessing and mitigating AI-specific attack classes, securing the ML pipeline, advising on compliance alignment, establishing AI security policies, and collaborating with various teams to enhance AI security. The position requires a deep understanding of AI/ML technologies and a strong foundation in core security principles.

Responsibilities:

  • Threat model AI/ML systems across the lifecycle
  • Assess and mitigate AI-specific attack classes
  • Secure the ML pipeline and supply chain
  • Advise on compliance alignment
  • Establish AI security policies and standards
  • Partner with detection & response teams
  • Help govern sanctioned vs shadow AI use
  • Create and monitor controls around AI prompts
  • Continuously monitor the AI threat landscape
  • Enable customer-facing teams

Requirements:

Required Qualifications:

  • Bachelor’s degree in Computer Science, Software Engineering, Information Security, or related field
  • Minimum 8 years of experience in security engineering or related technical disciplines
  • Deep technical knowledge of AI/ML technologies
  • Deep familiarity with AI security frameworks
  • Experience securing cloud-based, hybrid, or on-prem solutions
  • Strong foundation in core security principles
  • Hands-on experience securing AI/ML systems
  • Strong programming and scripting proficiency (e.g., Python)
  • Experience securing cloud and containerized environments
  • Experience embedding security into MLOps and AI/ML pipelines
  • Proven ability to communicate complex security risk clearly
  • Experience mentoring engineers and serving as a technical expert
  • Hands-on offensive security and AI red-teaming experience

Preferred Qualifications:

  • Hands-on experience with AI/ML security tooling
  • Experience with agent frameworks and orchestration
  • Experience in governance, risk, and compliance frameworks
  • Experience in client-facing or consulting roles
  • Industry certifications such as CISSP, OSCP, or AWS/Azure/Google Cloud Platform security

Equal Opportunity Employer Minorities/Women/Veterans/Disabled

Additional Information:

  • Contract to hire, please provide top 2 candidates only
  • Urgent Deployment
  • Remote position
  • 6 months fixed term

Skills

AWS
MLOps
Azure
Google Cloud
Python

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