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Ai Security Jobs in Virginia (NOW HIRING)

Cmu

AI Security Software Engineer

Arlington, VA · On-site +1

  • Retirement

As AI becomes central to critical infrastructure, advancing its security and resilience offers a compelling opportunity to shape the future, impacting support of the national security mission. Our ...

Leidos

AI Security Specialist

Ashburn, VA · Hybrid

$107K - $195K/yr

Primary Responsibilities Leidos is looking for an Artificial Intelligence (AI) Security Specialist to support the testing, reporting and vetting of AI applications, provide AI adversarial testing, AI ...

Leidos

AI Security Specialist

Ashburn, VA · On-site

$107K - $195K/yr

Primary Responsibilities Leidos is looking for an Artificial Intelligence (AI) Security Specialist to support the testing, reporting and vetting of AI applications, provide AI adversarial testing, AI ...

The MITRE Corporation

AI Security Engineer

Bedford, MA · On-site

$121K - $152K/yr

Perform AI adversarial threat analysis to identify and characterize vulnerabilities in real-world national security systems * Work across military and intelligence community sponsors to understand ...

Cmu

Senior AI Security Software Engineer

Arlington, VA · On-site +1

  • Retirement

As AI becomes central to critical infrastructure, advancing its security and resilience offers a compelling opportunity to shape the future, impacting support of the national security mission. Our ...

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Ai Security information

See Virginia salary details

$27.8K

$67.1K

$160.6K

How much do ai security jobs pay per year?

As of Aug 18, 2026, the average yearly pay for ai security in Virginia is $67,094.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,600.00 and $80,800.00 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 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.

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.

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 and staying updated on AI security trends can improve job prospects.

Is AI security a good career?

AI security is a growing field focused on protecting artificial intelligence systems from threats and vulnerabilities. It requires skills in cybersecurity, machine learning, and programming, and offers opportunities in industries such as technology, finance, and government. The demand for professionals in this area is increasing as AI adoption expands, making it a promising career choice for those with relevant expertise.

What are AI security jobs?

AI security jobs involve protecting artificial intelligence systems from threats such as hacking, data breaches, and malicious attacks. These roles often require knowledge of cybersecurity, machine learning, and programming, and may include tasks like vulnerability assessment, threat detection, and implementing security protocols for AI applications.

What are popular job titles related to Ai Security jobs in Virginia?

For Ai Security jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Ai Security jobs in Virginia look for?

The top searched job categories for Ai Security jobs in Virginia are:

What cities in Virginia are hiring for Ai Security jobs?

Cities in Virginia with the most Ai Security job openings:

Ai Security jobs near you
Infographic showing various Ai Security job openings in Virginia as of August 2026, with employment types broken down into 79% Full Time, 19% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $67,094 per year, or $32.3 per hour.

AI Security Specialist

Accenture Federal Services

Arlington, VA

Full-time

Posted 4 days ago

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

47th of 492 rated business services

Job description

The AI Security Specialist will work within the Cyber Risk team in the Inormation Security organization. 

The Work

  • Support the team by performing basic security reviews of AI prompts, skills, agents, and other related inputs. This includes helping review prompt-based systems, simple agent workflows, and early-stage automation tools.
  • Assist in checking compliance with internal AI security, Responsible AI, and data protection requirements by using established frameworks, checklists, and outputs from AI testing tools.
  • Document review results clearly, noting areas of concern and drafting initial mitigation suggestions for review by senior team members.
  • Contribute to continuous improvement by updating team documentation, improving reusable scripts under guidance, and assisting in refining security review criteria.

What you need

  • Basic understanding of GenAI ecosystems, including LLMs, vector databases, prompt frameworks, and simple agent workflows.
  • Awareness of common AI-specific attack vectors such as prompt injection, data leakage, model inversion, and unsafe agent actions.
  • Familiarity with fundamental AI security testing tools and evaluation frameworks, with willingness to learn more advanced tools over time.
  • Ability to identify basic AI system issues such as hallucinations, unauthorized access attempts, or harmful outputs. U
  • Understanding of core cloud security concepts across Azure/AWS/GCP, focused on identity, logging, and boundary protections.
  • Ability to review AI prompt inputs, configuration settings, guardrails, and simple testing outputs with guidance from senior staff.
  • Basic scripting ability (Python, JS, or similar) to help build or update small test cases and simple automation scripts.
  • Ability to apply AI security and Responsible AI requirements using checklists, templates, and system documentation provided by senior team members.
  • Solid communication and writing skills to help document and share test results, findings, and recommended mitigations in a clear and structured format.
  • Ability to communicate observed issues to engineers and product teams under the guidance of senior reviewers.
  • Ability to explain basic AI security concerns in plain language.
  • Ability to work independently and as part of a high-performing team.
  • Ability to continuously improve skills and staying current with changes in AI models, platforms, and emerging threats-tracking updates and integrating them into test coverage.
  • Experience contributing to updates of AI security patterns, guidance, and internal testing frameworks.

What Accenture Federal Services employees say

Pay

Benefits

Hours and flexibility

Workplace

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