Senior AI Security Engineer

World Wide Technology Healthcare SolutionsJenks, OK

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. 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. 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. WWT Digital's AI-Native Security Feedback Loop offering (DIG-MLS-01) requires someone who sits at the exact intersection of AI engineering and security. You will help clients design, test, and harden AI agent deployments, build automated vulnerability feedback loops into SDLC workflows, and establish monitoring frameworks for model behavior in production. You will work with the Digital AI delivery team and WWT Security on joint engagements targeting enterprise engineering orgs deploying agentic AI at scale.

Requirements

  • 4–7 years software or ML engineering, with at least 2–3 years focused on AI/ML security specifically
  • Working knowledge of LLM application architecture: RAG, tool use, agent orchestration frameworks (LangChain, LlamaIndex, CrewAI, or similar)
  • Hands-on with adversarial ML techniques: prompt injection, data poisoning, model inversion, evasion attacks
  • NHI security: service account hygiene, secrets rotation, OAuth/OIDC for machine-to-machine auth
  • Security monitoring for AI in production: behavioral baselines, output anomaly detection, audit logging
  • Experience with AI governance frameworks: NIST AI RMF, ISO/IEC 42001, emerging EU AI Act controls
  • Can write code — Python at minimum, comfortable with LLM SDKs and agent frameworks

Nice To Haves

  • red team or penetration testing background applied specifically to AI systems
  • prior consulting experience; able to present to CISO and CTO audiences simultaneously

Responsibilities

  • Assess AI and agent system architectures for security exposure — prompt injection paths, tool misuse, data exfiltration vectors, identity sprawl
  • Design and implement NHI (Non-Human Identity) governance frameworks for AI agents, service accounts, and API credentials
  • Build adversarial test suites for LLM-based applications — red-teaming agents, jailbreak testing, context injection scenarios
  • Integrate security feedback loops into AI development workflows: model evaluation gates, output monitoring, anomaly detection
  • Define and implement MLSecOps practices: model signing, provenance, fine-tune data validation
  • Support OWASP Agentic Top 10 gap assessments alongside WWT Security architects
  • Develop reusable patterns and accelerators that can be packaged into repeatable WWT offerings

Benefits

  • 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

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume

What This Job Offers

Job Type

Full-time

Career Level

Senior

Education Level

No Education Listed

Number of Employees

1,001-5,000 employees

© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service