AI Security Engineer III – Agentic AI, Security Automation

American Express

. Design, develop, and deploy intelligent AI agents using LLMs, agentic AI frameworks, retrieval-augmented generation (RAG), tool/function calling, and workflow orchestration .

Posted 11/2/2026full-timeBengaluru • IndiaJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing AI-powered solutions and automation components, with a strong focus on Python programming, vulnerability management, and secure software development practices. Proficient in integrating AI agents with various APIs and platforms while ensuring compliance with security policies and best practices.

Highest-signal resume keywords

Python ProgrammingGenerative AI DevelopmentVulnerability ManagementCI/CD Pipeline IntegrationAI Agent Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentAutomation EngineeringREST API IntegrationJSON ProcessingAutomated TestingVulnerability IdentificationSecure Coding PracticesDependency ManagementCryptographic Security ConceptsError Handling

Soft Skills

Analytical SkillsTroubleshootingProblem-SolvingCollaboration

Tools & Technologies

GitHubCI/CD ToolsVulnerability Management PlatformsLangChainLangGraph

Industry Keywords

DevSecOpsApplication SecurityCryptographic LibrariesSecurity Scanning ToolsRisk Scoring

Tech Stack

Tools & technologies

Cyber SecurityPython

About the role

Key responsibilities & impact

Design, develop, and deploy intelligent AI agents using LLMs, agentic AI frameworks, retrieval-augmented generation (RAG), tool/function calling, and workflow orchestration
Develop AI-powered solutions to analyze application code, GitHub repositories, dependencies, APIs, and container images; identify vulnerabilities; generate remediation recommendations; and automate code and dependency fixes
Build agents that generate remediation code, update vulnerable dependencies, execute automated tests and security validations, and create GitHub pull requests
Implement pull request monitoring, application owner notifications, remediation tracking, and escalation workflows
Develop AI-powered vulnerability triage and correlation workflows to identify duplicate or stale findings, analyze severity reclassifications, and distinguish actionable vulnerabilities from reporting discrepancies
Validate remediation effectiveness through automated testing, security rescans, deployment verification, and vulnerability status reconciliation
Develop AI-powered cryptographic metadata discovery and inventory capabilities
Evaluate cryptographic implementations against enterprise security policies and recommend remediation actions
Monitor expiring certificates, deprecated algorithms, key rotation requirements, and cryptographic migration opportunities
Integrate AI agents with GitHub APIs, vulnerability APIs, AI Harness assessment results, vulnerability management platforms, and enterprise security tools
Develop dashboards, vulnerability trend analysis, risk prioritization, remediation recommendations, and application owner notifications
Implement human approval, least-privilege access, audit logging, input/output validation, and safeguards against prompt injection or unauthorized actions
Write maintainable, reusable, and well-tested Python code; develop scalable automation components; integrate solutions into CI/CD pipelines; and collaborate with security engineering, application development, DevSecOps, and infrastructure teams

Requirements

What you’ll need

Bachelor's degree in Computer Science, Software Engineering, Cybersecurity, Artificial Intelligence, or a related field, or equivalent practical experience
2–4 years of hands-on experience in software development, automation engineering, DevSecOps, security engineering, or related technical roles
Strong programming skills in Python, including scripting, REST API integrations, JSON processing, data manipulation, error handling, automated testing, and development of reusable automation components
Practical experience developing applications or automation solutions using Generative AI and Large Language Models (LLMs), including prompt engineering, tool/function calling, structured outputs, and AI agent workflows
Familiarity with AI agent frameworks and orchestration technologies such as LangChain, LangGraph or equivalent frameworks
Experience working with GitHub, Git workflows, pull requests, repository automation, and CI/CD pipelines
Understanding of software security fundamentals, vulnerability identification, secure coding practices, dependency management, and vulnerability remediation workflows
Working knowledge of common application security vulnerabilities and remediation approaches involving APIs, open-source dependencies, container images, and application code
Familiarity with security scanning tools, vulnerability management platforms, or CTEM concepts, including vulnerability prioritization, risk scoring, remediation tracking, and validation
Experience with REST API integrations, scheduled automation, event-driven workflows, and integration of multiple enterprise systems
Understanding of secure software development practices, including code reviews, unit testing, automated security testing, and deployment validation
Awareness of AI application security considerations, including prompt injection, sensitive-data handling, least-privilege access, human-in-the-loop approval, and validation of AI-generated outputs
Basic knowledge of cryptographic security concepts, including encryption algorithms, TLS, digital certificates, cryptographic libraries, and key management
Strong analytical, troubleshooting, and problem-solving skills, with the ability to translate cybersecurity requirements into practical engineering and automation solutions
Ability to collaborate effectively with cross-functional engineering, application development, DevSecOps, and cybersecurity teams

Benefits

Comp & perks

Competitive base salaries
Bonus incentives
Support for financial well-being and retirement
Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
Generous paid parental leave policies (depending on your location)
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities