Senior AI DevSecOps Engineer

Responsibilities

• Develops, recommends, and implements enterprise information security policies, technical standards, guidelines, procedures and other elements of an infrastructure necessary to support information security in compliance with established company policies, regulatory requirements, and generally accepted information security controls.
• Lead the design and integration of Dev Sec Ops , Application Security and Vulnerability Management capabilities across our enterprise.
• Drive secure-by-design practices across CI/CD pipelines, cloud-native platforms, and modern development workflows—including AI-assisted coding environments.
• Partner closely with application engineering, cloud, and platform teams to embed scalable, automated security controls that reduce risk while enabling developer velocity.
• Lead the design and implementation of Dev Sec Ops  solutions integrated into CI/CD pipelines (Git Hub, Git Lab, Jenkins)
• Define and implement secure SDLC practices, including automated testing, threat modeling, and secure coding standards.
• Own and optimize CNAPP platforms (e.g., Wiz, Prisma Cloud) to improve cloud security posture and workload protection.
• Drive vulnerability management strategy, including risk-based prioritization and integration into developer workflows.
• Integrate and tune App Sec tools (SAST, DAST, SCA, container scanning) for scalable pipeline adoption.
• Establish guardrails for AI-generated code security, including validation of outputs and mitigation of risks such as insecure code patterns and data exposure.
• Embed security controls into AI-enabled applications and APIs, addressing emerging risks (e.g., prompt injection, model misuse).
• Partner with engineering teams to reduce vulnerability backlog and MTTR.
• Define KPIs and reporting for security posture, pipeline coverage, and risk reduction.
• Serve as a technical advisor and escalation point for complex security and integration challenges.
• Leads system and network architecture support for information and network security technologies;
  Leads development and execution of risk assessment methodologies to fit business, regulatory, and technical environment considerations;
  Leads the development of requirements, system architecture, and software design of security products and services;
  Develops security incident response plans and strategies.

• Requires BS/BA in information Technology or related field of study
• minimum of 8 years experience in systems administration and security aspects of information systems
• access management and network security technologies
• experience with multiple technical and business disciplines
• broad-based experience to plan and design highly complex systems
• any combination of education and experience, which would provide an equivalent background.
• Preferred
  
  Skills:
  
  Experience in Dev Sec Ops , Application Security, Cloud Security, or related fields
• Hands-on experience integrating security into CI/CD pipelines at scale
• Experience with CNAPP platforms (e.g., Wiz, Prisma Cloud)
• Strong knowledge of Application Security (SAST, DAST, SCA, API security)
• Cloud Security (AWS, Azure, or GCP)
• Containers & Kubernetes security
• Vulnerability management and risk prioritization
• Experience with automation, scripting, and infrastructure-as-code (IaC)
• Experience securing AI/LLM-enabled applications or AI-assisted development workflows
• Familiarity with AI security risks (e.g., OWASP Top 10 for LLMs, prompt injection, data leakage)
• Experience with tools such as Snyk, Checkmarx, Veracode, Sonar Qube
• Strong understanding of Dev Ops and Agile practices
• Security certifications (e.g., CISSP, CCSP, CSSLP) preferred