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Adversarial Engineer Jobs (NOW HIRING)

Rivian

Staff Security Engineer - AI Security

Atlanta, GA

$140K - $175K/yr

Responsibilities 1. Adversarial Evaluation (The "Breaker") * AI Red Teaming: Design and execute ... Partner closely with engineering teams to brainstorm, review & validate remediations for the gaps ...

Rivian

Staff Security Engineer - AI Security

Atlanta, GA · On-site

$140K - $175K/yr

Responsibilities 1. Adversarial Evaluation (The "Breaker") * AI Red Teaming: Design and execute ... Partner closely with engineering teams to brainstorm, review & validate remediations for the gaps ...

Rivian

Staff Security Engineer - AI Security

Atlanta, GA · On-site

$140K - $175K/yr

Responsibilities 1. Adversarial Evaluation (The "Breaker") * AI Red Teaming: Design and execute ... Partner closely with engineering teams to brainstorm, review & validate remediations for the gaps ...

Rivian

Staff Security Engineer - AI Security

Irvine, CA · On-site

$140K - $175K/yr

Responsibilities 1. Adversarial Evaluation (The "Breaker") * AI Red Teaming: Design and execute ... Partner closely with engineering teams to brainstorm, review & validate remediations for the gaps ...

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Adversarial Engineer information

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or cybersecurity can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Roles like machine learning engineers, cloud architects, and adversarial engineers with expertise in security and AI are among those reaching this compensation level, often including bonuses and stock options.

Which 3 jobs will survive AI?

Adversarial engineers, who develop and defend AI systems against malicious attacks, are likely to continue being in demand as AI security becomes more critical. Roles involving complex problem-solving, creativity, and human oversight—such as AI ethics specialists and cybersecurity analysts—are also expected to persist due to the need for human judgment and expertise. These jobs require specialized skills and ongoing learning to adapt to evolving AI technologies.

What is the highest paid cyber security job?

The highest paid cybersecurity roles often include Chief Information Security Officer (CISO), Security Director, or Security Architect, with CISOs typically earning the highest salaries due to their strategic and leadership responsibilities. These positions require extensive experience, advanced certifications like CISSP, and a strong understanding of security frameworks, often commanding six-figure or higher compensation. Salary levels vary by industry and location but are generally among the top in cybersecurity careers.

What is the difference between Adversarial Engineer vs Penetration Tester?

AspectAdversarial EngineerPenetration Tester
CredentialsSecurity certifications (e.g., OSCP, CEH), strong coding skillsSecurity certifications (e.g., OSCP, CEH), ethical hacking skills
Work EnvironmentDevelops attack simulations, tests defenses, often in R&D or security teamsPerforms authorized security assessments, often in consulting or internal security teams
Industry UsageUsed in cybersecurity, product security, and threat simulationCommon in cybersecurity, vulnerability assessment, and compliance testing

While both roles focus on security testing, an Adversarial Engineer develops sophisticated attack strategies to identify vulnerabilities proactively, often working on threat simulation and defense development. A Penetration Tester conducts authorized security assessments to find vulnerabilities, typically in a more tactical and testing-focused capacity. Both roles require similar certifications and skills but differ in scope and objectives.

What are Adversarial Engineers?

Adversarial Engineers are professionals who specialize in testing and improving the security and robustness of machine learning models and AI systems by simulating attacks and identifying vulnerabilities. Their work often involves crafting adversarial examples—inputs designed to deceive AI systems—and developing defenses against such attacks. Adversarial Engineers play a critical role in ensuring that AI technologies can withstand malicious manipulation and function safely in real-world environments.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, data science, or cybersecurity can earn $300,000 or more annually, especially with experience, advanced skills, and in high-demand industries. Roles like machine learning engineers, cloud architects, and adversarial engineers often reach or exceed this salary level, particularly in competitive markets or with additional bonuses and stock options.

What are some common challenges Adversarial Engineers face when testing machine learning systems?

Adversarial Engineers often encounter challenges such as staying ahead of evolving attack techniques, understanding the intricacies of different machine learning models, and designing realistic threat scenarios. They must balance creating effective adversarial examples with ensuring those tests reflect real-world risks. Additionally, collaboration with data scientists and security teams is essential to integrate findings into model improvements and broader security strategies.

What are the key skills and qualifications needed to thrive as an Adversarial Engineer, and why are they important?

To thrive as an Adversarial Engineer, you need a deep understanding of cybersecurity principles, machine learning, and programming languages such as Python, often supported by a degree in computer science or a related field. Familiarity with penetration testing tools, adversarial attack frameworks, and certifications like OSCP or CEH is commonly required. Strong analytical thinking, problem-solving, and effective communication skills help professionals excel in identifying vulnerabilities and collaborating with cross-functional teams. These competencies are critical to proactively defending systems and improving the robustness of AI models against evolving threats.
Infographic showing various Adversarial Engineer job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.
Adversarial AI Offensive Security Analyst

Adversarial AI Offensive Security Analyst

Vangard, Inc.

Malvern, PA • On-site

Full-time

Posted 14 days ago

Job description

The Adversarial AI Offensive Security Analyst, Senior Specialst is a senior individual contributor role on the Offensive Security & Fraud Testing (OSFT) team. The mission of this role is to harness AI and automation as force multipliers for red teaming and penetration testing at scale, emulating advanced adversaries from reconnaissance through exploitation. Unlike roles focused on testing AI systems, this position uses AI to enhance offensive security operations, enabling broader, faster, and more sophisticated attack simulations that challenge our defenses and fraud controls.

ERO is seeking an experienced Offensive Security professional to lead cutting-edge AI-augmented red team engagements. As an Adversarial AI Offensive Security Analyst, you will blend traditional penetration testing expertise with innovative use of AI/LLMs and automation. You'll develop and utilize custom tools (including integrating Model Context Protocol (MCP) or similar AI-agent frameworks) to amplify offensive operations. Your work directly strengthens our security by simulating AI-powered threat actors at scale and driving improvements across cyber defenses and fraud detection.

Key Responsibilities:

  • Plan & Execute AI-Enhanced Attacks: Lead red team operations and penetration tests that incorporateLLM-driven techniques andagentic automation to simulate sophisticated adversaries at scale. Maintain human-in-the-loop oversight to ensure safe, controlled execution.[
  • Custom Tooling & Automation: Design or integratecustom offensive tools and scripts that use AI/ML (e.g. LLM APIs, automation frameworks) to accelerate vulnerability discovery, exploit development, and testing workflows. For example, develop internal frameworks that interface LLMs with red team C2 platforms (likeMythicMCP,SliverMCP) to enable autonomous or semi-autonomous operations.
  • Adversarial Simulation & Fraud Testing: Conduct adversarial exercises targeting both technical systems and fraud controls, using AI to emulate how attackers might abuse scale and automation. Work with fraud risk teams to simulate large-scale abuse scenarios (bots, deepfakes, automated scams) using AI capabilities.
  • Collaboration & Purple Teaming: Partner closely with blue teams (SOC, Detection Engineering) and fraud prevention teams to share insights from AI-augmented tests. Help validate and improve detection and response forAI-driven attack techniques through joint purple team exercises.
  • Reporting & Knowledge Sharing: Document attack scenarios, findings, and mitigations in clear reports. Present results and risk insights to both technical staff and executives, translating complex AI-augmented attack methods into actionable defense improvements.Mentor colleagues in adopting AI-assisted tools and foster a culture of innovation in the team.

Required Qualifications:

  • Offensive Security Expertise: 5-7+ years of hands-on experience inpenetration testing, red teaming, or adversary simulation with a strong track record. Deep understanding of network/web application security, exploitation techniques, and attacker TTPs (MITRE ATT&CK).
  • AI & Automation Skills: Proven experience leveragingAI/ML or automation in cybersecurity (e.g. using LLM APIs, scripting against AI services, building security chatbots or automation pipelines). Ability to craft effective prompts and interpret LLM outputs.Familiarity with integrating AI into tools or workflows (experience with frameworks like Model Context Protocol (MCP) servers is a strong plus).
  • Programming & Tool Development: Proficiency inPython or similar languages for developing custom tools, automation scripts, and integrating APIs. Experience building or extending offensive toolsets (C2 frameworks, scanners, exploit scripts) to adapt to new needs.
  • Security Certifications & Education: Bachelor's degree in computer science, engineering, or equivalent experience. Industry certifications such asOSCP, CRTE or similar are preferred, demonstrating advanced offensive skills.
  • Innovative & Collaborative Mindset: Demonstrated creative problem-solving ability and adaptability. Eagerness to continuously research emergingAI-enabled attack techniques and proactively share knowledge. Strong collaboration skills to work with cross-functional teams and communicate complex concepts clearly.

Preferred Qualifications:

  • Experience withAI agent frameworks or autonomous red teaming tools (e.g. experimenting with LLM agents for recon/exploitation).
  • Knowledge ofadversarial machine learning concepts or AI model vulnerabilities (prompt injection, data poisoning) - not the focus of this role, but indicative of a broad security mindset.
  • Prior experience infraud testing/abuse simulations orsocial engineering engagements, especially using deepfakes or automated bots.
  • DevOps/cloud knowledge (CI/CD pipelines, AWS/Azure) and how AI can target cloud or supply chain environments.

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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