Opportunity Application & Product Security work from LinkedIn, X, Reddit and Upwork, in one list. Find me work
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Lead AI Application Security Engineer

GXO gxo.com Open · verified Oct 24, 2026
Remote United States Senior Application & Product Security

At a glance

Senior Application & Product Security role at GXO. Remote, United States · no salary stated · we estimate $157,247–$222,163 across the United States.

Estimated pay

GXO has not published a salary for this role. The figure below is our estimate, not theirs.

$157,247 – $222,163
What the middle half of senior application & product security roles in the United States paid, among postings that did state a salary.
Worked out from 200 postings that stated pay, median $187,050. Last updated Oct 23, 2026.
RoleApplication & Product Security
SenioritySenior
LocationUnited States
WorkplaceRemote
PostedSep 24, 2026 · 4w ago
Role brief

remoteroles summary, based on the employer's posting.

What you'll do

  • Lead security exercises against AI applications, models and platforms, probing for prompt attacks, data exposure and supply-chain risks
  • Build AI protections into delivery pipelines, cloud services, model releases and live environments
  • Set threat models, architecture and secure development practices for AI and machine-learning workloads
  • Choose and operate AI security tools, including runtime defenses and model scanning, and inform build-or-buy decisions
  • Coordinate with application, cloud, data and security teams on architecture, response, governance and ongoing improvements

What you bring

  • A relevant bachelor's degree or equivalent work or military background, plus related AI, cloud or application security certifications
  • At least seven years in application, cloud or DevSecOps security, with growing technical leadership responsibilities
  • Practical experience protecting AI/ML platforms, large language model applications, agent-based AI or enterprise AI infrastructure
  • Strong command of secure CI/CD, Kubernetes, containers, APIs, infrastructure as code, cloud security and application security
  • Experience securing Google Cloud, including Vertex AI, GKE, IAM and related cloud services

Who this fits

This senior technical lead role suits someone who can set security direction and work across application, cloud, data and security teams. The position is remote in the United States.

From the employer

Logistics at full potential.

At GXO, we’re constantly looking for talented individuals at all levels who can deliver the caliber of service our company requires. You know that a positive work environment creates happy employees, which boosts productivity and dedication. On our team, you’ll have the support to excel at work and the resources to build a career you can be proud of.

As the Lead AI Application Security Engineer, you will serve as the technical lead for securing GXO's Enterprise AI Platform and AI-powered applications. You will define AI security architecture, testing methodologies, and secure development standards while partnering with application, cloud, data, and security teams to ensure AI solutions are designed, deployed, and operated securely across GXO's global technology environment.

Pay, benefits and more. 

We are eager to attract the best, so we offer competitive compensation and a generous benefits package, including full health insurance (medical, dental and vision), 401(k), life insurance, disability and the opportunity to participate in a company incentive plan.

What you'll do on a typical day:

  • Lead security testing and AI red teaming for GXO's AI applications, including LLMs, agentic AI systems, ML models, and the Enterprise AI Platform, identifying risks across prompt injection, model manipulation, data leakage, RAG pipelines, and AI supply chains
  • Design, implement, and maintain AI-aware DevSecOps practices by integrating AI security controls into CI/CD pipelines, cloud infrastructure, model deployments, and runtime environments
  • Develop and maintain secure AI development standards, threat models, and security architecture for AI/ML workloads, ensuring alignment with industry frameworks and GXO security policies
  • Evaluate, implement, and manage AI security tooling, including AI firewalls, prompt injection detection, runtime protections, model scanning, and AI security automation while supporting build-versus-buy decisions
  • Partner with application, cloud, infrastructure, data engineering, and Information Security teams to integrate AI security into enterprise architecture, platform development, incident response, governance, and continuous improvement initiatives

What you need to succeed at GXO:

At a minimum, you'll need:

  • Bachelor's degree in Computer Science, Cybersecurity, Information Technology, Engineering, or equivalent related work or military experience, along with relevant AI, cloud, or application security certifications
  • 7+ years of experience in application security, DevSecOps, cloud security engineering, or security engineering with progressive technical leadership responsibilities
  • Hands-on experience securing AI/ML platforms, LLM applications, agentic AI systems, or enterprise AI infrastructure
  • Strong expertise in application security, secure CI/CD pipelines, Kubernetes, container security, API security, Infrastructure-as-Code, cloud security, and DevSecOps practices
  • Experience with Google Cloud Platform security, including Vertex AI, GKE, IAM, KMS, VPC Service Controls, Cloud Logging, and cloud-native AI workloads
  • Deep understanding of AI security frameworks and methodologies, including OWASP Top 10 for LLMs, OWASP Agentic Applications, MITRE ATLAS, NIST AI RMF, AI threat modeling, prompt injection defense, model supply chain security, and AI red teaming

It'd be great if you also have:

  • Experience securing AWS, Azure, OCI, or hybrid cloud environments, including enterprise identity and access management platforms and Snowflake security
  • Experience with AI security tooling such as NVIDIA Garak, Microsoft PyRIT, Promptfoo, Wiz, Checkmarx, Invicti, or similar AI security platforms
  • Knowledge of EU AI Act requirements, AI governance, model lifecycle security, MLOps/LLMOps, Lean automation, and enterprise AI compliance frameworks

We engineer faster, smarter, leaner supply chains.

GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team – energetic, innovative people of all experience levels and talents who make GXO a great place to work.

We are proud to be an Equal Opportunity employer including Disabled/Veterans.


GXO adheres to CDC, OSHA and state and local requirements regarding COVID safety. All employees and visitors are expected to comply with GXO policies which are in place to safeguard our employees and customers.

All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. Review GXO's candidate privacy statement here.

Opportunity

Application & Product Security work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Application & Product SecurityRemote

Find me work

By the team behind remoteroles.

Find me work
Opportunity

Application & Product Security work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind remoteroles.