Principal AI Security Engineer
About The Position
Kyndryl is seeking a Principal AI Security Engineer to secure internal AI solutions, agents, copilots, model platforms, and frontier AI capabilities. This is a hands-on senior technical role involving writing code, building controls, integrating them into enterprise platforms, and translating security requirements into reusable guardrails and measurable risk reduction. The role is part of Kyndryl’s Security & Resiliency practice, which helps clients anticipate, protect against, withstand, and recover from cyber threats and operational disruption. The engineer will lead through technical depth, reusable patterns, mentoring, and enterprise influence.
Requirements
- 10 or more years of experience in security engineering, application security, product security, cloud security, software engineering, platform engineering, or a related field.
- Experience implementing authentication, authorization, secrets management, API security, logging, monitoring, and secure development controls.
- Experience implementing technical controls that are unique to the evolving AI risk landscape.
- Experience with Azure, AWS, or Google Cloud, Infrastructure as Code, and CI/CD.
- Ability to conduct threat modeling and convert findings into working engineering solutions.
- Development experience in Python, Java, C#, Go, or JavaScript/TypeScript.
Nice To Haves
- Experience developing or securing generative AI applications, agents, copilots, or machine learning platforms.
- Experience with AI gateways, model routing, RAG, vector databases, orchestration, MCP, or model-serving platforms.
- Experience with AI red teaming, adversarial testing, prompt injection defenses, or automated control validation.
- Relevant security, cloud, application security, or AI engineering certifications.
Responsibilities
- Design, develop, test, and deploy controls for AI applications, agents, copilots, and shared AI platforms.
- Build reusable services, APIs, libraries, policy checks, automation, and platform integrations.
- Implement identity, authorization, secrets, data access, tool-use, egress, rate-limiting, logging, and human-approval controls.
- Perform AI threat modeling and technical security reviews and drive remediation.
- Build adversarial tests and automated checks for prompt injection, unsafe tool execution, misuse, and control bypass.
- Integrate AI security telemetry, detections, alerts, and response workflows.
- Lead through engineering depth, reusable patterns, mentoring, and enterprise influence.
Benefits
- Medical and dental coverage
- Disability benefits
- Retirement benefits
- Paid leave
- Paid time off
- Eligibility for Kyndryl’s discretionary annual bonus program, based on performance and subject to applicable plan terms
- Employee learning programs and access to industry certifications
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
