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Ai Security Jobs (NOW HIRING)

1 point system

AI Security Engineer

O Fallon, MO · On-site

Strong knowledge of AI security frameworks : EU AI Act, MITRE ATLAS, OWASP Top 10 for LLM/ML * Hands‑on AI security experience : RAG, MCP, Agentic systems (design → production) * Security ...

HITRUST Service Corp.

AI Security Principal

Frisco, TX · On-site

The AI Security Principal will combine external market education with internal strategic influence, working closely with framework development, product, sales, marketing, and go-to-market teams to ...

InvoiceCloud

OR · On-site

We are seeking a highly skilled and results-oriented AI Security Engineer to support the Cybersecurity, Engineering, and Data Science organizations. This role plays a critical part in advancing ...

HITRUST Services LLC

AI Security Principal

Frisco, TX · On-site

The AI Security Principal will combine external market education with internal strategic influence, working closely with framework development, product, sales, marketing, and go-to-market teams to ...

Qualtrics

AI Security Architect

Seattle, WA

$74 - $95.50/hr

AI Security Architect Why We Have This Role AI systems face threats that traditional security architecture wasn't built for: adversarial manipulation, model theft, data poisoning, prompt injection ...

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How much do ai security jobs pay per year?

As of Aug 15, 2026, the average yearly pay for ai security in the United States is $67,675.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,000.00 and $81,500.00 per year, depending on experience, location, and employer.

What is an AI Security?

An AI Security job focuses on protecting AI systems from threats, vulnerabilities, and adversarial attacks. Professionals in this role develop security measures to safeguard machine learning models, data, and infrastructure. They work to prevent data poisoning, model evasion, and unauthorized access while ensuring compliance with security standards. AI Security experts collaborate with cybersecurity teams to strengthen AI-driven applications and mitigate risks. Their work is essential for maintaining the integrity and trustworthiness of AI systems.

What are the key skills and qualifications needed to thrive in the AI Security position, and why are they important?

To thrive as an AI Security professional, you need a strong background in cybersecurity, machine learning, and programming—often supported by a degree in computer science or a related field. Experience with tools like SIEM platforms, threat intelligence systems, and certifications such as CISSP or CEH are highly valuable. Analytical thinking, problem-solving, and excellent communication skills help you identify vulnerabilities and collaborate with cross-functional teams. These skills are crucial for protecting AI systems from evolving threats and ensuring the security and integrity of sensitive data.

What are AI security jobs?

AI security jobs involve protecting artificial intelligence systems from threats such as hacking, data breaches, and malicious attacks. Roles often include security analysts, engineers, and researchers who develop safeguards, implement security protocols, and use tools like encryption and intrusion detection systems to ensure AI system integrity and safety.

Is AI security a good career?

AI security is a growing field focused on protecting artificial intelligence systems from threats and vulnerabilities. It requires knowledge of cybersecurity, machine learning, and programming, with certifications like CISSP or CEH often beneficial. The role offers high demand and competitive salaries due to increasing reliance on AI technologies.

What are common challenges faced by AI Security professionals in their daily work?

AI Security professionals often encounter the challenge of staying ahead of rapidly evolving cyber threats that specifically target machine learning models and data pipelines. They must assess and mitigate vulnerabilities unique to AI systems, such as adversarial attacks or data poisoning, in addition to traditional cybersecurity risks. Collaboration with data scientists, developers, and IT teams is frequent to design secure systems from the ground up. Adapting quickly to emerging technologies and threat landscapes is a normal part of the work, making continuous learning and professional development essential in this field.

How to get a job in AI security?

To pursue a career in AI security, candidates should have a strong background in cybersecurity, machine learning, or computer science, often demonstrated through relevant degrees or certifications such as CISSP or Certified Ethical Hacker. Gaining experience with AI tools, programming languages like Python, and understanding of threat detection are essential. Building a portfolio of projects or participating in cybersecurity competitions can also improve job prospects.
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Ai Security jobs near you
Infographic showing various Ai Security job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $67,675 per year, or $32.5 per hour.

AI Security Engineer

1 point system

O Fallon, MO • On-site

Contractor

Re-posted 15 days ago

Job description

Must‑Have Qualifications (Hard Filters)

  • Strong knowledge of AI security frameworks: EU AI Act, MITRE ATLAS, OWASP Top 10 for LLM/ML
  • Hands‑on AI security experience: RAG, MCP, Agentic systems (design → production)
  • Security architecture & engineering: Proven track record designing scalable, resilient solutions
  • Offensive AI security: LLM penetration testing, red teaming, guardrail design/implementation
  • Playbook creation: Security reviews, risk assessments, consistent evaluation frameworks
  • Stakeholder influence: Ability to drive measurable improvements in AI security posture
  • Compliance knowledge: NIST, ISO, GDPR, emerging AI regulations
  • Technical communication: Clear documentation, reporting, and stakeholder facilitation

Responsibilities

  • Architect and implement robust AI security frameworks and secure coding practices
  • Conduct vulnerability assessments and penetration testing on AI models/systems
  • Collaborate with data scientists/engineers to embed security in the AI lifecycle
  • Track and apply emerging AI security standards (EU AI Act, NIST, ISO, GDPR)
  • Lead AI security research, innovation, and POCs for new threat models
  • Prepare SOPs, protocols, and security reports for audit readiness
  • Provide advisory and mentorship on AI security principles and practices
  • Guide adoption of governance principles and reference model architectures

Preferred Experience

  • Offensive AI security (prompt injection, jailbreaks, adversarial ML)
  • Experience with AI commerce/economy systems (monetization, creator platforms)
  • Polyglot data modeling and semantic model design
  • Familiarity with AI workload optimization for performance/cost/security
  • Relevant certifications: CISSP, CEH, OSCP, SC‑300, or equivalent