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Ai Security Jobs in Spring, TX (NOW HIRING)

1 point system

AI Security Engineer

Houston, TX · On-site

The role is focused on ensuring AI security readiness, not AI development, and involves significant work in risk reviews and architectural approvals. Key Responsibilities * Act as part of the Cyber ...

Deloitte

AI Security Engineer Manager

Houston, TX · On-site

As a Manager in AI Security Engineering, you will play a critical role in securing the development and deployment of AI/ML and Generative AI solutions. You will operate hands-on across high ...

JLL

Senior Security Engineer, AI Enablement

Houston, TX · On-site

$109K - $149K/yr

The Senior Security Engineer, AI Enablement is Security's embedded, full-time representative on JLL's Falcon team, owning the product's security architecture for agents, MCP integrations, and ...

Crowe LLP

Cyber AI Security Manager

The Woodlands, TX · On-site +1

$99K - $134K/yr

About the Role The Cyber AI Security Manager sits at the intersection of AI engineering and cybersecurity. You will help clients securely adopt AI while also helping Crowe reinvent how cybersecurity ...

Crowe LLP

Cyber AI Security Manager

Houston, TX · On-site +1

$106K - $143K/yr

About the Role The Cyber AI Security Manager sits at the intersection of AI engineering and cybersecurity. You will help clients securely adopt AI while also helping Crowe reinvent how cybersecurity ...

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All JobsAi Security JobsAi Security Jobs in Spring, TX

Ai Security information

See Spring, TX salary details

$24.9K

$60.2K

$144.2K

How much do ai security jobs pay per year?

As of Sep 3, 2026, the average yearly pay for ai security in Spring, TX is $60,223.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,300.00 and $72,500.00 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 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 Spring, TX?

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

What job categories do people searching Ai Security jobs in Spring, TX look for?

The top searched job categories for Ai Security jobs in Spring, TX are:

What cities near Spring, TX are hiring for Ai Security jobs?

Cities near Spring, TX with the most Ai Security job openings:

Ai Security jobs near you
Infographic showing various Ai Security job openings in Spring, TX as of August 2026, with employment types broken down into 86% Full Time, 8% Part Time, and 6% Contract. Highlights an 70% In-person, 15% Hybrid, and 15% Remote job distribution, with an average salary of $60,223 per year, or $29 per hour.

AI Security Engineer

1 point system

Houston, TX • On-site

Contractor

Re-posted 15 days ago

Job description

Role Overview

We are seeking two Cyber Engineers for core roles with a new emphasis on AI security, product risk reviews, and architectural assurance. This position is part of the Cyber Assurance and Architecture Review function, responsible for evaluating every new product, application, or process for cyber risk. The role is focused on ensuring AI security readiness, not AI development, and involves significant work in risk reviews and architectural approvals.

Key Responsibilities

  • Act as part of the Cyber Assurance / Architecture Review function.
  • Review new products, applications, and processes to determine if they are safe and follow existing security guardrails.
  • Assess if new guardrails are required, especially for AI-enabled products.
  • Participate in risk reviews and architectural approvals.
  • Perform hands-on security work, including reviewing logs, securing applications, and proposing mitigations.
  • Analyze threats and assess risks related to enterprise security.

Required Qualifications

Experience:

  • Strong foundational experience in cyber engineering, including enterprise security principles, secure architecture reviews, and threat analysis.
  • Demonstrated experience in hands-on security work such as reviewing logs, securing applications, and identifying and mitigating risks.
  • Exposure to AI systems from a security perspective, including an understanding of AI/ML security risks and threat vectors.
  • Experience with model, data, or pipeline security, even at a conceptual level.

Skills:

  • A problem-solving mindset with the ability to develop defensible solutions for ambiguous problems.
  • Comfort working in new and evolving security domains.

Preferred Qualifications

  • Any level of direct AI security experience.
  • Familiarity with AI governance frameworks such as the NIST AI Risk Management Framework or the OWASP Top 10 for LLMs.
  • Professional background from large technology companies or AI-focused organizations.
  • Prior experience in a public sector or government cyber role.