Security Solutions Analyst - AI Security

World Wide Technology Healthcare Solutions • Jenks, OK

2h • $70,000 - $80,000

About The Position

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. The Solutions Consulting & Engineering (SC&E) organization is Customer Focused and Solutions Led, delivering end-to-end and emerging solutions to drive customer satisfaction, increase profitability and growth. Their success is enabled by world-class management consulting, delivery excellence, and engineering brilliance, aiming to bring together business acumen with full-stack technical know-how to develop innovative solutions for clients' most complex challenges. The Security Solutions Analyst - AI Security will support the implementation and operation of AI security and MLSecOps initiatives across the AI lifecycle, including data ingestion, model development, deployment, and monitoring. This role will assist in identifying and analyzing AI-specific risks such as prompt injection, data poisoning, and model misuse, contributing to secure-by-design practices. They will also participate in AI security assessments, helping document risks, controls, and mitigation strategies under guidance from senior team members, and contribute to the implementation of security controls across AI systems, including data pipelines, APIs, and model environments. Additionally, the analyst will support alignment with enterprise security frameworks and standards such as NIST AI RMF, ISO, and internal governance policies.

Requirements

• 0–3 years of experience in cybersecurity, IT, software engineering, or a related field
• Basic understanding of cybersecurity principles (network security, IAM, application security)
• Strong analytical, problem-solving, and communication skills
• Eagerness to learn and grow in AI security and consulting environments

Nice To Haves

• Exposure to cloud platforms (AWS, Azure, or GCP) and/or AI/ML concepts is a plus
• Familiarity with scripting or programming (e.g., Python) preferred

Responsibilities

• Support the implementation and operation of AI security and MLSecOps initiatives across the AI lifecycle, including data ingestion, model development, deployment, and monitoring.
• Assist in identifying and analyzing AI-specific risks such as prompt injection, data poisoning, and model misuse, contributing to secure-by-design practices.
• Participate in AI security assessments, helping document risks, controls, and mitigation strategies under guidance from senior team members.
• Contribute to the implementation of security controls across AI systems, including data pipelines, APIs, and model environments.
• Support alignment with enterprise security frameworks and standards such as NIST AI RMF, ISO, and internal governance policies.
• Assist in conducting AI/ML risk assessments, threat modeling exercises, and control evaluations.
• Support the deployment and testing of security controls within AI/ML pipelines and cloud environments.
• Help monitor AI systems for vulnerabilities, anomalies, and compliance issues.
• Contribute to security testing activities such as basic adversarial testing and validation under supervision.
• Work alongside engineers and consultants to integrate security into MLOps and DevOps workflows.
• Support secure configuration of cloud-based AI platforms (e.g., AWS, Azure, GCP).
• Assist with documentation of system architectures, security requirements, and technical findings.
• Contribute to client deliverables including reports, presentations, and documentation.
• Support project teams in meeting deadlines and maintaining quality standards.
• Participate in client meetings, capturing notes and action items.
• Build foundational knowledge in AI security, cloud security, and cybersecurity frameworks.
• Stay informed on emerging AI threats, vulnerabilities, and industry trends.
• Participate in internal training and knowledge-sharing initiatives.
• Work closely with cross-functional teams including developers, engineers, and security professionals.
• Support implementation of enterprise AI security standards and best practices.

Benefits

• Health, Dental, and Vision Care
• Onsite Health Centers
• Employee Assistance Program
• Wellness program
• Competitive pay
• Profit Sharing
• 401k Plan with Company Matching
• Life and Disability Insurance
• Tuition Reimbursement
• PTO and Sick Leave (starting at 20 days per year)
• Holidays (10 per year)
• Parental Leave
• Military Leave
• Bereavement
• Nursing Mothers Benefits
• Voluntary Legal
• Pet Insurance
• Employee Discount Program

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed
• Number of Employees: 1,001-5,000 employees