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Senior AI Security Engineer

Maryland Heights, MO

Summary

_We are not able to offer visa sponsorship, 1099 status, or work with C2C for this role_ _._

World Wide Technology (WWT) strives to make a new world happen. WWT's work benefits clients and partners as much as it does its people and community across the globe.

Founded in 1990, WWT brings together strategy, deep technical expertise and world-class partnerships to help public and private sector organizations design, build and scale intelligent AI, digital, cybersecurity, cloud and infrastructure solutions. Through its Advanced Technology Center (ATC)-a collaborative ecosystem featuring state-of-the-art hardware and software-WWT enables clients and partners to conceptualize, test and validate innovative technology and then deploy solutions at scale using its global integration and distribution capabilities.

With more than 14,000 team members and over 60 locations globally, WWT's culture-grounded in core values and leadership philosophies-has been recognized by Fortune® and Great Place to Work for its commitment to innovation, trust and creating a great place to work for all. WWT provides products and services to large enterprise, global service provider and public sector clients in up to 130 countries across six continents. Softchoice, a World Wide Technology company, supports commercial and SMB markets in the U.S. and Canada.

Want to work with highly motivated individuals on high-performance teams? Join WWT today!

What is the Internal WWT IT Team, and why join?

The Internal WWT IT team is the backbone of our company's technological infrastructure, ensuring seamless operations and continuous innovation. Our team is dedicated to managing and supporting the company's technology infrastructure, ensuring the smooth operation of hardware, software, networks, and data systems, while providing top-notch technical support to employees.

By joining the Internal WWT IT team, you will play a crucial role in maintaining the efficiency and security of our IT environment, enabling the company to achieve its strategic goals. The Internal IT team offers the opportunity to work in a dynamic and collaborative environment, where your contributions will have a direct impact on the company's success. If you are passionate about technology and eager to take on new challenges, we encourage you to apply and join our team.

World Wide Technology's Information Security organization is hiring a Senior AI Security Engineer to help secure the organization's AI and machine learning ecosystem and reduce risk across WWT-developed and WWT-operated AI systems. As a Senior AI Security Engineer, you'll be a hands-on technical contributor helping mature an evolving AI security function. Your focus is executing the highest-impact technical security work and enabling teams to build and deploy AI systems securely at speed through threat modeling, model and AI application security review, adversarial testing and red-teaming, security tooling and automation, and vulnerability remediation across the AI/ML lifecycle. Beyond securing what we build, you'll help govern the safe adoption of AI across the enterprise, establishing standards for sanctioned AI use, evaluating third-party AI tools and vendors, and reducing the risk of shadow AI. You'll support our customer-facing teams, equipping them to educate customers on AI security best practices and serving as a technical resource in customer conversations. You'll also help grow the skills of those around you and act as a trusted AI security resource for teams across the organization.

Key Responsibilities

+ Threat model AI/ML systems across the lifecycle (data ingestion, training, fine-tuning, deployment, inference).

+ Assess and mitigate AI-specific attack classes such as prompt injection, jailbreaks, data poisoning, adversarial examples, and insecure agent and tool-use patterns.

+ Secure the ML pipeline and supply chain, including model provenance and the evaluation of third-party and open-source models.

+ Advise on compliance alignment (e.g., NIST AI RMF, EU AI Act, OWASP).

+ Establish AI security policies, standards, and secure-development guidance for teams building with AI.

+ Partner with detection & response teams to extend monitoring and incident response to AI-related incidents.

+ Help govern sanctioned vs shadow AI use; review and harden 3 rd -party AI vendors and integrations.

+ Create and monitor controls around AI prompts, data movement and AI guardrails across the AI stack for the organization.

+ Continuously monitor the AI threat landscape and translate research into actionable engineering mitigations.

+ Partner with IT and cross-functional teams outside of Information Security offering technical expertise around secure use and adoption of AI.

+ Enable customer-facing teams by developing AI security guidance and reference materials, supporting customer briefings and workshops, and serving as a technical subject-matter expert in customer engagements.

Required Qualifications

+ Bachelor's degree in Computer Science, Software Engineering, Information Security, or a related field or equivalent hands-on experience.

+ Minimum 8 years of experience in security engineering, information security, or related technical disciplines, with a demonstrated focus on securing AI/ML systems.

+ Proven experience defining and executing enterprise security strategies.

+ Experience and deep technical knowledge of how AI/ML technologies work.

+ Deep familiarity with AI security frameworks (e.g., NIST AI RMF, MITRE ATLAS, OWASP).

+ Experience securing organizational tool stacks including cloud-based, hybrid or on-prem solutions.

+ Deep knowledge of AI related threats, risks and mitigation strategies.

+ Strong foundation in core security principles-threat modeling, secure design, and identity and access control-applied to AI/ML systems and the infrastructure that supports them.

+ Hands-on experience securing AI/ML systems, including practical AI red teaming against LLMs, agentic workflows, or RAG systems

+ Strong programming and scripting proficiency (e.g., Python) for building security tooling, automation, and test harnesses across the AI/ML lifecycle.

+ Hands-on experience securing cloud and containerized environments (AWS, Azure, and/or GCP; Kubernetes and containers), including the infrastructure on which AI/ML workloads are trained, deployed, and served.

+ Experience embedding security into MLOps and AI/ML development pipelines (and the CI/CD workflows that feed them), including model and dataset integrity checks, guardrail validation, and automated security testing.

+ Proven ability to communicate complex security risk clearly to both technical and non-technical audiences, including engineers, leadership, and customers.

+ Demonstrated experience mentoring engineers and serving as a senior technical authority and subject-matter expert.

+ Hands-on offensive security and AI red-teaming experience targeting AI systems-including prompt injection, jailbreaks, data poisoning, model extraction, and agent/tool-abuse techniques-a...

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