Agentic AI Engineer III - Cybersecurity

About the role

Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success.

Responsibilities

• Design and implement LLM-powered and agentic AI solutions that automate cloud security, governance, and operational workflows.
• Build and extend agentic AI workflows capable of reasoning over enterprise security context, invoking cloud security tools, and performing automated actions with appropriate guardrails and human oversight.
• Develop AI agents that integrate with enterprise cloud platforms, SaaS applications, identity services, CNAPP, CSPM, SSPM, SIEM, and security orchestration platforms.
• Design and maintain Retrieval-Augmented Generation (RAG) pipelines using enterprise security documentation, cloud architecture, policies, incident data, and operational knowledge while ensuring correctness, privacy, and regulatory compliance.
• Develop Security-as-Code and Policy-as-Code capabilities that enable AI agents to validate cloud configurations, enforce security guardrails, and recommend or automate remediation activities.
• Build AI-powered automation for cloud security assessments, threat modeling, security posture analysis, compliance validation, and risk reporting.
• Participate in operating AI systems in production, including monitoring model performance, evaluating agent behavior, debugging issues, improving reliability, and ensuring secure AI operations.
• Collaborate with cloud engineering, cybersecurity, platform engineering, product, and business teams to translate security and operational requirements into scalable AI-enabled solutions.
• Ensure AI systems are designed with enterprise security, governance, explainability, auditability, and responsible AI principles.

Qualifications

• 2+ years of professional software engineering experience.
• Solid engineering fundamentals in at least one backend language (Python, Go, or TypeScript).
• Familiarity with APIs, basic cloud concepts, and modern development practices.
• Interest in agentic AI systems, autonomy, and AI-assisted development workflows.
• Willingness to learn, take feedback, and grow technical ownership over time.
• Comfort working in collaborative, cross-functional teams.
• A strong customer mindset and curiosity about real-world problem solving.

Preferred Qualifications

• Exposure to LLM tooling, prompt engineering, RAG, or agent frameworks through work, coursework, or personal projects.
• Internship or early-career experience in fintech or other regulated environments.
• Contributions to open-source projects, hackathons, or side projects related to AI or developer tooling.

Benefits

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

• Competitive base salaries
• Bonus incentives
• 6% Company Match on retirement savings plan
• Free financial coaching and financial well-being support
• Comprehensive medical, dental, vision, life insurance, and disability benefits
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
• 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
• 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

Pay

The below represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.