AI DevSecOps Senior Engineer

Elevance HealthIndianapolis, IN
Hybrid

About The Position

The AI DevSecOps Senior Engineer 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. You will lead the design and integration of DevSecOps, Application Security and Vulnerability Management capabilities across our enterprise. This individual contributor role will drive secure-by-design practices across CI/CD pipelines, cloud-native platforms, and modern development workflows—including AI-assisted coding environments. You will partner closely with application engineering, cloud, and platform teams to embed scalable, automated security controls that reduce risk while enabling developer velocity.

Requirements

  • BS/BA in information Technology or related field of study and a minimum of 8 years experience in systems administration and security aspects of information systems, access management and network security technologies, network communications, computer networking, telecommunications, systems development and management, hardware, software, data, and people
  • Experience with multiple technical and business disciplines required
  • Broad-based experience to plan and design highly complex systems
  • Any combination of education and experience, which would provide an equivalent background

Nice To Haves

  • Vulnerability management and risk prioritization
  • Strong knowledge of Application Security (SAST, DAST, SCA, API security) & Cloud Security (AWS, Azure, or GCP), Containers & Kubernetes security
  • Experience in DevSecOps (Harness pipelines), 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)
  • Experience with tools such as Snyk, Checkmarx, Veracode, SonarQube
  • Experience with JFrog Artifactory, Xray, and Curation
  • 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)
  • Security certifications (e.g., CISSP, CCSP, CSSLP) preferred
  • Strong understanding of DevOps and Agile practices

Responsibilities

  • Define and implement secure SDLC practices, including automated testing, threat modeling, and secure coding standards
  • Drive vulnerability management strategy, including risk-based prioritization and integration into developer workflows
  • Lead development and execution of risk assessment methodologies to fit business, regulatory, and technical environment considerations
  • Lead the development of requirements, system architecture, and software design of security products and services
  • Lead system and network architecture support for information and network security technologies
  • Serve as a technical advisor and escalation point for complex security and integration challenges
  • Develop security incident response plans and strategies
  • Provide trouble resolution and serve as point of technical escalation on complex problems
  • Act as a subject matter expert among peers, with manager and senior management
  • Lead the design and implementation of DevSecOps solutions integrated into CI/CD pipelines (GitHub, GitLab, Jenkins)
  • Integrate and tune AppSec tools (SAST, DAST, SCA, container scanning) for scalable pipeline adoption
  • Own and optimize CNAPP platforms (e.g., Wiz, Prisma Cloud) to improve cloud security posture and workload protection
  • Partner with engineering teams to reduce vulnerability backlog and MTTR
  • Define KPIs and reporting for security posture, pipeline coverage, and risk reduction
  • 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)
  • Create presentations and seek IT management approval and acceptance of significant replacements or reconfigurations of major security systems serving the Enterprise

Benefits

  • merit increases
  • paid holidays
  • Paid Time Off
  • incentive bonus programs
  • medical
  • dental
  • vision
  • short and long term disability benefits
  • 401(k) +match
  • stock purchase plan
  • life insurance
  • wellness programs
  • financial education resources
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