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Ai Security Jobs in Spring, TX (NOW HIRING)

Oceaneering

AI Solutions Manager

Houston, TX · On-site

... security, and platform stakeholders to deliver reliable, governed solutions that meet business needs. • Manage, mentor, and develop a team of AI engineers and solution builders. Qualifications

FIRST SERVICE CREDIT UNION

AI Engineer

Houston, TX

... AI security risks (e.g., prompt injection, data leakage, model drift) and implement appropriate mitigations. 8. Demonstrate sound judgment and independent decision-making when operating in a ...

FIRST SERVICE CREDIT UNION

AI Engineer

Houston, TX

... AI security risks (e.g., prompt injection, data leakage, model drift) and implement appropriate mitigations. 8. Demonstrate sound judgment and independent decision-making when operating in a ...

FIRST SERVICE CREDIT UNION

AI Engineer

Houston, TX · On-site

... AI security risks (e.g., prompt injection, data leakage, model drift) and implement appropriate mitigations. 8. Demonstrate sound judgment and independent decision-making when operating in a ...

Hp

VicePresident,Platform Engineering

Spring, TX

These include modern, AI-native, end-to-end platforms spanning developer experience, data and AI, security, infrastructure, reliability, as well as software stacks for customer-facing HP ...

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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 Aug 14, 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 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.

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 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $60,223 per year, or $29 per hour.

AI Solutions Manager

Oceaneering

Houston, TX • On-site

Full-time

Re-posted 17 days ago

Oceaneering rating

6.8

Company rating: 6.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

366th of 489 rated machine equipment manufacturers

Job description

Job Summary:
Oceaneering is a global provider of engineered services and products, primarily to the offshore energy industry. They are seeking an experienced AI Solutions Manager to lead a team in the design and delivery of enterprise AI solutions across the Microsoft ecosystem, ensuring scalable and secure solutions that meet business needs.
Responsibilities:
• Lead and develop a team responsible for the design, development, deployment, and support of AI agents and related solutions.
• Serve as the hands-on architecture and delivery lead for AI solutions, translating business requirements into scalable, supportable, and secure technical designs.
• Design and architect agentic AI solutions using Copilot Studio, Power Platform, and Azure AI capabilities, applying design best practices, integration patterns, and enterprise standards.
• Provide hands-on technical leadership across the full development lifecycle, including discovery, design, build, testing, deployment, and monitoring.
• Develop AI agents and automation solutions, while establishing engineering standards, design reviews, and implementation guidance.
• Establish secure-by-design approaches for AI agents, including threat modeling, access controls, governance alignment, and security testing such as red teaming during pre-deployment and post-deployment monitoring.
• Partner with business, security, and platform stakeholders to deliver reliable, governed solutions that meet business needs.
• Manage, mentor, and develop a team of AI engineers and solution builders.
Qualifications:
Required:
• 8+ years of progressive experience in software engineering, solution architecture, enterprise application delivery, or AI solution delivery, including experience leading teams.
• Proven experience leading teams while also delivering hands-on technical solutions in complex enterprise environments.
• Demonstrated ability to design and deliver AI solutions from business requirements, applying best practices for scalability, maintainability, integration, and security.
• At least 2 years of hands-on experience developing and operating AI solutions using Copilot Studio, Power Platform, and Azure AI services (including AI Foundry).
• Solid understanding of software development lifecycle (SDLC) practices, including testing, deployment, monitoring, and support.
• Strong understanding of secure-by-design principles for AI solutions, including access controls, governance alignment, and risk considerations.
• Demonstrated ability to architect AI solutions from business requirements and guide teams through implementation using sound technical and design practices.
• 5+ years of experience leading architecture reviews, establishing technical standards, and ensuring implementation quality across solutions.
• Demonstrated ability to balance team leadership responsibilities with hands-on technical contribution while leading multiple concurrent workstreams in complex environments.
• Strong communication, planning, and stakeholder engagement skills with the ability to collaborate effectively across business and technical teams.
Preferred:
• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
• Knowledge of AI security and responsible AI practices, including governance, access controls, and security testing approaches such as red teaming.
• Experience monitoring and operating AI solutions in production, including telemetry, reliability, performance optimization, and issue resolution at scale.
• Experience conducting agent regression testing and developing automated test suites for AI agent behavior and tool/function execution.
• Experience with cloud-native deployment patterns, including CI/CD, integration patterns, and scalable service design.
• Experience driving continuous improvement of AI solutions using operational insights and feedback from production environments.
Company:
Oceaneering is a global oilfield provider of engineered services and products primarily to the offshore oil and gas industry. Founded in 1964, the company is headquartered in Houston, USA, with a team of 10001+ employees. The company is currently Late Stage.

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