AI DevSecOps Senior Engineer

Elevance Health (Anthem); Indianapolis (IN); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Elevance Health (Anthem) is seeking an AI DevSecOps Senior Engineer to lead secure software development, DevSecOps integration, and vulnerability management across CI/CD and cloud platforms. The role partners with engineering, cloud, and platform teams to embed scalable security controls in AI-enabled workflows.

The position emphasizes secure design practices, risk-based prioritization, and ongoing improvement of security posture in a hybrid in‑office model with flexible work arrangements.

Qualifications

• Requires BS/BA in information technology or related field and 8+ years in security/IT.
• Experience designing and integrating secure software supply chains.
• Strong knowledge of cloud platforms and modern development workflows.

Responsibilities

• Define and implement secure SDLC practices across CI/CD pipelines.
• Lead vulnerability management and risk prioritization initiatives.
• Architect and secure AI/LLM-enabled development environments.
• Embed security controls into cloud-native architectures and AI-enabled apps.
• Coordinate with engineering teams to reduce MTTR and backlog.

Skills

Vulnerability management

Application Security

Cloud Security

DevSecOps

CI/CD pipelines

SAST

DAST

SCA

Container security

Kubernetes security

Education

BS/BA in Information Technology

Tools

Harness pipelines

JFrog Artifactory

Snyk

Checkmarx

Veracode

SonarQube

Wiz

Prisma Cloud

Job description

Anticipated End Date: 2026-08-24

Position Title: AI DevSecOps Senior Engineer

Job Description: AI DevSecOps Senior Engineer

Locations: This role requires associates to be in‑office 1‑2 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work‑life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Alternate locations may be considered if candidates reside within a commuting distance from an office

Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law.

PLEASE NOTE: This position is not eligible for current or future VISA sponsorship.

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.

How you will make an Impact:

• 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

Minimum Requirements:

Requires 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; requires broad‑based experience to plan and design highly complex systems; or any combination of education and experience, which would provide an equivalent background.

Preferred Skills, Experiences and Competencies:

• 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.