AI Security Engineer

Qualifications 4–7 years of software or ML engineering experience, with at least 2–3 years focused on AI/ML security specifically Hands-on experience with LLM application architecture: RAG, tool use, agent orchestration frameworks (LangChain, LlamaIndex, CrewAI, or similar) Practical experience with adversarial ML techniques: prompt injection, data poisoning, model inversion, evasion attacks NHI security implementation: service account hygiene, secrets rotation, OAuth/OIDC for machine-to-machine authentication Security monitoring for AI in production: behavioral baselines, output anomaly detection, audit logging Strong coding ability — Python required; comfortable with LLM SDKs, agent frameworks, and CI/CD pipeline integration Familiarity with AI governance frameworks: NIST AI RMF, ISO/IEC 42001, emerging EU AI Act controls Bonus: red team or penetration testing background applied specifically to AI systems Bonus: experience building reusable security tooling or accelerators packaged for delivery across multiple clients Want to learn more about Consulting & Security Services? Check us out on our platform: https://www.wwt.com/consulting-services https://www.wwt.com/category/security-transformation Certain states and localities require employers to post a reasonable estimate of salary range. A reasonable estimate of the current base pay range for this position is $140,000 to $170,000 annually. Actual salary will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base pay. The well-being of WWT employees is essential. So, when it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees: Health and Wellbeing: Health, Dental, and Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness program Financial Benefits: Competitive pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Tuition Reimbursement Paid Time Off: PTO and Sick Leave (starting at 20 days per year) & Holidays (10 per year), Parental Leave, Military Leave, Bereavement Additional Perks: Nursing Mothers Benefits, Voluntary Legal, Pet Insurance, Employee Discount Program We strive to create an environment where all employees are empowered to succeed based on their skills, performance, and dedication. Our goal is to cultivate a culture of belonging that encourages innovation, collaboration, and respect for all team members, ensuring that WWT remains a great place to work for All! If you have any questions or concerns about this posting, please email [email protected]. #LI-TB1 Why WWT? At World Wide Technology, we work together to make a new world happen. Our important work benefits our clients and partners as much as it does our people and communities across the globe. WWT is dedicated to achieving its mission of creating a profitable growth company that is also a Great Place to Work for All. We achieve this through our world-class culture, generous benefits and by delivering cutting-edge technology solutions for our clients. Founded in 1990, WWT is a global technology solutions provider leading the AI and Digital Revolution. WWT combines the power of strategy, execution and partnership to accelerate digital transformational outcomes for organizations around the globe. Through its Advanced Technology Center, a collaborative ecosystem of the world's most advanced hardware and software solutions, WWT helps clients and partners conceptualize, test and validate innovative technology solutions for the best business outcomes and then deploys them at scale through its global warehousing, distribution and integration capabilities. With over 12,000 employees across WWT and Softchoice and more than 60 locations around the world, WWT's culture, built on a set of core values and established leadership philosophies, has been recognized 14 years in a row by Fortune and Great Place to Work® for its unique blend of determination, innovation and creating a great place to work for all. Want to work with highly motivated individuals on high-performance teams? Join WWT today! What is the Solutions Consulting & Engineering (SC&E) Team and why join? Solutions Consulting & Engineering is an organization that is Customer Focused and Solutions Led. We deliver end-to-end and emerging solutions to drive customer satisfaction, increase profitability and growth. Our success is enabled by our world-class management consulting, delivery excellence and engineering brilliance. Our goal is to bring together business acumen with full-stack technical know-how to develop innovative solutions for our clients' most complex challenges. Role Summary WWT Digital’s AI-Native Security team is seeking an AI Security Engineer to build, configure, and harden AI agent security systems tailored to individual enterprise customers. Working from structured requirements delivered by our AI Security Consultants and architectural standards set by the Principal Architect, you will implement and customize the technical security controls, evaluation frameworks, and monitoring infrastructure that form our core deliverable. You will operate at the intersection of AI engineering and security engineering, translating client-specific risk profiles and deployment environments into production-ready configurations and tooling. You will work with the Digital AI delivery team and WWT Security on joint engagements targeting enterprise engineering organizations deploying agentic AI at scale. Responsibilities Receive and interpret requirements briefs from the AI Security Consultant; translate client-specific security requirements into technical implementation plans aligned with Principal Architect standards Implement and customize NHI (Non-Human Identity) governance frameworks for AI agents, service accounts, and API credentials based on client architecture Build adversarial test suites for LLM-based applications: red-teaming agents, jailbreak testing, context injection, and prompt injection scenarios Integrate security feedback loops into client AI development workflows: model evaluation gates, output monitoring pipelines, and anomaly detection Define and implement MLSecOps practices per client requirements: model signing, provenance tracking, fine-tune data validation Assess AI and agent system architectures for security exposure (prompt injection paths, tool misuse, data exfiltration vectors, identity sprawl) as needed to validate consultant findings Implement AI governance and compliance controls required by regulated clients — audit trails, model cards, data lineage documentation, access logging, and bias evaluation records — translating framework requirements surfaced by the Consultant into operational, evidenceable deliverables Develop reusable implementation patterns, configuration templates, and accelerator tooling that can be packaged into repeatable WWT offerings Collaborate closely with the AI Security Consultant and Principal Architect to validate that delivered systems satisfy client requirements and address identified gaps