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AI Security Software Engineer
Elevance Health. Design, develop, test, and maintain AI-enabled application security solutions and automated vulnerability assessment capabilities .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing AI-enabled application security solutions, integrating security into CI/CD pipelines, and conducting security risk assessments. Proficient in Python development, REST API creation, and leveraging cloud platforms for security management.
Highest-signal resume keywords
Python DevelopmentAI-Enabled Systems DevelopmentCI/CD Pipeline IntegrationSecurity Risk AssessmentREST API Development
ATS Keywords
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Hard Skills
PythonREST APIFastAPIFlaskDjangoSQLAsynchronous ProcessingAutomated TestingVulnerability AssessmentSecurity Metrics
Soft Skills
CollaborationTechnical GuidanceProblem-Solving
Tools & Technologies
GitHubGitLabJenkinsAzure DevOpsBitbucketAWSAzureGCPKubernetesEnterprise AI Platforms
Certifications & Qualifications
CSSLPOSWEGWEBCloud Security Certifications
Industry Keywords
DevSecOpsOWASP Top 10SASTDASTAPI SecuritySoftware Supply Chain SecurityRegulated EnvironmentsSecurity Incident Response
Tech Stack
Tools & technologiesAWSAzureCloudDjangoFlaskGoogle Cloud PlatformITSMJavaScriptJenkinsKubernetesPythonReactSQLTypeScript
About the role
Key responsibilities & impact- Design, develop, test, and maintain AI-enabled application security solutions and automated vulnerability assessment capabilities
- Build and integrate security assessment pipelines combining traditional security scanning tools with AI-assisted source code analysis and vulnerability identification
- Develop integrations with source code repositories, security tools, vulnerability management platforms, enterprise workflows, and AI/LLM platforms
- Lead the design and implementation of DevSecOps solutions in CI/CD pipelines
- Define technical requirements, system architecture, and reusable integration frameworks supporting AI models, security tools, and assessment engines
- Establish security guardrails for AI-generated code and AI-enabled applications
- Lead security risk assessments, vulnerability prioritization, and remediation strategies
- Develop security metrics and reporting to measure security posture, assessment coverage, and risk reduction
- Collaborate with application security, penetration testing, software engineering, AI engineering, and platform teams
- Serve as a technical subject matter expert, provide guidance, troubleshoot complex issues, and support security incident response strategies
Requirements
What you’ll need- BS/BA in Information Technology or related field of study
- Minimum of 8 years of 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; or any combination of education and experience providing an equivalent background
- Experience with multiple technical and business disciplines
- Strong Python development skills
- Experience building REST APIs using FastAPI, Flask, Django, or similar frameworks
- Familiarity with asynchronous processing, concurrency, automated testing (pytest), and SQL databases
- Experience developing AI-enabled or agent-based systems using commercial or open-source LLMs
- Experience with prompt engineering, tool calling, structured outputs, context management, and enterprise AI platforms
- Knowledge of OWASP Top 10, CWE, SAST, DAST, SCA, API security, secrets detection, software supply chain security, and vulnerability assessment
- Experience securing AI/LLM applications and AI-assisted development workflows
- Hands-on experience integrating security into CI/CD pipelines using GitHub, GitLab, Jenkins, Azure DevOps, Bitbucket, or similar platforms
- Knowledge of AWS, Azure, or GCP, container security, Kubernetes, and modern cloud deployment practices
- Experience integrating application security and vulnerability management platforms
- Familiarity with model evaluation techniques, labeled datasets, precision/recall metrics, regression testing, and comparative model analysis
- Experience with Git-based development, code reviews, automated testing, logging, metrics, distributed tracing, and production monitoring
- Familiarity with React, JavaScript, TypeScript, enterprise workflow platforms, and IT service management systems
- Experience in regulated or security-sensitive environments
- Security certifications such as CSSLP, OSWE, GWEB, cloud security certifications, or equivalent are strongly preferred
- Candidates must reside within a reasonable commuting distance from a posting location unless an accommodation is granted
- This position is not eligible for current or future visa sponsorship
Benefits
Comp & perks- Merit increases
- Paid holidays
- Paid Time Off
- Incentive bonus programs
- Medical benefits
- Dental benefits
- Vision benefits
- Short-term disability benefits
- Long-term disability benefits
- 401(k) match
- Stock purchase plan
- Life insurance
- Wellness programs
- Financial education resources
- Hybrid work arrangement with flexibility and virtual work options