Senior Java/ AI Engineer- Cybersecurity Engineer

American Express is hiring a Senior Cybersecurity Engineer within its Data Security organization in Phoenix, AZ (onsite). In this role, you will design, develop, and modernize secure cryptographic services while applying generative AI and AI-based automation to improve developer productivity and support incident-free operations.

What you’ll do

• Design, develop, and modernize secure, scalable, and resilient cryptographic services, accelerating AI-enabled engineering and intelligent automation.
• Apply Generative AI and AI-based automation across engineering and operational workflows to improve developer productivity.
• Automate vulnerability remediation to reduce time-to-fix and reliance on manual work.
• Proactively identify and remediate issues while reducing manual intervention.
• Advance the organization’s journey toward incident-free operations through improved automation and operational workflows.

What you bring

• Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or equivalent practical experience.
• 7+ years of professional software development experience.
• 2+ years leading software developers, including technical mentoring and design guidance.
• 5+ years of experience within Financial Services or another highly regulated industry.
• 5+ years building APIs, microservices, or backend applications using Java, Python, Go, JavaScript/TypeScript, or similar languages.
• 5+ years developing or consuming REST and/or SOAP services.
• 2+ years hands-on experience with GCP, AWS, Azure, or private/hybrid cloud platforms.
• 2+ years experience with Kubernetes, Docker, containerization, service mesh, or related cloud-native technologies.
• 2+ years developing solutions involving PKI, symmetric/asymmetric cryptography, encryption, tokenization, digital certificates, or cryptographic key management.
• 2+ years experience with HashiCorp Vault, KMS, HSM, or comparable secrets/key management technologies.
• Hands-on experience integrating LLMs or Generative AI into applications, software engineering workflows, or operational automation.
• Hands-on experience with AI agents, Retrieval-Augmented Generation (RAG), LLM APIs, prompt engineering, agentic workflows, or similar Generative AI patterns.
• Experience applying AI to engineering and operational use cases such as incident detection, root-cause analysis, vulnerability remediation, observability, automated remediation, or recovery.
• Deep understanding of PKI architecture, certificate lifecycle management, cryptographic key lifecycle management, TLS/mTLS, encryption, digital signatures, and secure communication protocols.
• Experience designing highly available enterprise PKI or cryptographic services.
• Experience integrating applications with HSMs, enterprise PKI, HashiCorp Vault, cloud KMS, and certificate management platforms.
• Strong understanding of API security, OAuth/OIDC, authentication, and authorization.
• Experience with DevSecOps, CI/CD, automated security testing, observability, and infrastructure automation.
• Understanding of security, privacy, access control, and responsible AI considerations for enterprise AI solutions.

Tools and technologies

• Java, Python, Go, JavaScript/TypeScript, REST, SOAP
• GCP, AWS, Azure, Kubernetes, Docker, service mesh
• PKI, symmetric/asymmetric cryptography, encryption, tokenization, digital certificates, cryptographic key management
• HashiCorp Vault, KMS, HSM
• LLMs, Generative AI, AI agents, Retrieval-Augmented Generation (RAG), LLM APIs, prompt engineering, agentic workflows
• OAuth/OIDC, TLS/mTLS, DevSecOps, CI/CD, automated security testing, observability, infrastructure automation

Compensation: USD 123,000 - 215,250 per year.