Lead AI Security Engineer

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status. Need Help? If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response). Regular or Temporary: Regular Language Fluency:  English (Required) Work Shift: 1st shift (United States of America) Please review the following job description: • The Lead AI Security Engineer is a senior hands-on security engineer responsible for designing, implementing, and advancing controls that protect AI-enabled applications, agentic workloads, model integrations, and AI delivery pipelines across the full software and AI lifecycle. • This role focuses on securing agent behavior, prompt and context flows, tool invocation, data access, model interaction, pipeline integrity, runtime execution, observability, and deployment readiness in a regulated enterprise environment. • The engineer leads implementation of AI-specific security patterns including prompt-injection defenses, guardrails, output filtering, secure tool-use boundaries, identity and permission controls, evidence capture, logging, monitoring, and detection content for AI-enabled systems. • The work spans architecture review, threat modeling, adversarial test readiness, control validation, automation, detection engineering, deployment gating, production monitoring, and incident response support for AI and agentic solutions. • Daily work includes partnering with product, engineering, platform, data, risk, and security teams to translate AI security requirements into implementable controls that enable safe, traceable, resilient, and governed deployment of enterprise AI capabilities. ESSENTIAL DUTIES AND RESPONSIBILITIES Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. Lead the design and implementation of security controls for AI-enabled applications, agents, model integrations, orchestration layers, and AI delivery pipelines. Perform AI and agentic threat modeling across prompts, context windows, retrieval flows, tools, APIs, permissions, memory, model access, data movement, and runtime execution paths. Implement and validate guardrails for prompt-injection resistance, unsafe output handling, tool-use abuse, sensitive data exposure, privilege escalation, model misuse, and policy-violating behavior. Build and maintain monitoring, alerting, and detection logic for AI systems, including anomalous prompts, abnormal agent actions, suspicious tool invocation, unsafe model responses, and control degradation. Embed security requirements into AI design reviews, acceptance criteria, validation plans, CI/CD or LLMOps workflows, model or prompt change controls, and release-readiness gates. Validate that AI solutions meet required security, governance, traceability, and evidence standards before release and continue to meet them after deployment. Support AI-related incident investigation, root-cause analysis, remediation planning, and operational response for suspicious behavior, control failures, data exposure, or unsafe system outcomes. Maintain control documentation, implementation guidance, runbooks, validation evidence, engineering patterns, and operating procedures for AI security engineering activities. Continuously improve AI security automation, validation workflows, detection content, guardrail logic, and deployment controls as models, agents, workflows, and attack techniques evolve.

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