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# Senior Java/ AI Engineer- Cybersecurity Engineer

- **Company:** American Express Company
- **Location:** Phoenix, AZ, United States
- **Experience:** Expert
- **Salary:** $123,000.0 - $215,250.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Application Integration Architecture, Public-Key Cryptography, User Authentication, Microsoft Azure, Cloud Computing, Cyber Security, Computer Engineering, Continuous Integration, Digital Signature, Intrusion Detection and Prevention, Python (Programming Language), Key Management, OAuth, OpenID, Public Key Infrastructure, Security Software, Software Engineering, Systems Integration, Tokenization, TypeScript, Software Vulnerability Management, SSL Certificate Management, Google Cloud, Istio, Large Language Models, Prompt Engineering, Software Security, SOAPAPI, Generative AI, HybridCloud, Backend, Agentic-AI, Containerization, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Hashicorp, Api Design, Devsecops, Docker, Golang, Microservices
- **Published:** October 5, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=dc1063f0338d0013

## About the Role

The ideal candidate will combine deep software engineering expertise with hands-on experience in PKI, cryptography, encryption, tokenization, digital certificates, secrets and key management, APIs, and cloud-native technologies .

A key focus of this role will be leveraging Generative AI and AI-based automation across engineering and operational workflows to improve developer productivity, automate vulnerability remediation, proactively identify and remediate issues, reduce manual intervention, and advance our journey toward incident-free operations .

 * Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or equivalent practical experience.
 * 7+ years of professional software development experience.
 * 2+ years of experience leading software developers, including technical mentoring and design guidance.
 * 5+ years of experience within Financial Services or another highly regulated industry.
 * 5+ years of experience developing APIs, microservices, or backend applications using Java, Python, Go, JavaScript/TypeScript, or similar languages.
 * 5+ years of experience developing or consuming REST and/or SOAP services.
 * 2+ years of hands-on experience with GCP, AWS, Azure, or private/hybrid cloud platforms.
 * 2+ years of experience with Kubernetes, Docker/containerization, service mesh, or related cloud-native technologies.
 * 2+ years of experience developing solutions involving PKI, symmetric/asymmetric cryptography, encryption, tokenization, digital certificates, or cryptographic key management .
 * 2+ years of experience developing or integrating services using 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 application 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.
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