AI Security Engineer
Sumitomo Mitsui Banking Corporation2 hours ago
Charlotte, NC, USAMid Level / Senior
Responsibilities
- Design, implement, and maintain security controls for generative AI, LLMs, AI agents, and machine learning platforms.
- Develop secure architecture patterns, standards, and guardrails for AI solutions across ingestion, development, deployment, and inference workflows.
- Integrate AI security requirements into software development, DevSecOps, and MLOps processes.
- Secure AI platforms and cloud services including Azure AI, Azure OpenAI, AWS Bedrock, and Databricks AI.
- Implement logging, telemetry collection, threat detection, and security monitoring for AI environments.
- Assess AI risks including prompt injection, model poisoning, data leakage, adversarial attacks, unauthorized access, insecure agent behavior, RAG vulnerabilities, and third-party supply-chain threats.
- Partner with architecture, engineering, data science, privacy, legal, compliance, and cloud teams on secure solution design and operations.
- Support AI security testing, red-team exercises, incident-response preparedness, control validation, and continuous improvement.
Requirements
- Bachelor's degree in Information Security, Computer Science, Engineering, or a related field, or an equivalent combination of education, certifications, and experience.
- 3–5 years of experience in cybersecurity, security engineering, cloud security, or security architecture.
- Experience designing and implementing security solutions in Azure, AWS, or Google Cloud Platform.
- Knowledge of networking, operating systems, web applications, identity and access management, authentication, privileged access controls, and certificate management.
- Understanding of application security, API security, modern threat techniques, and cloud security risks.
- Familiarity with NIST, OWASP, ISO, SOX, and SWIFT frameworks.
- Working knowledge of AI, machine learning, and generative AI technologies and their lifecycle security considerations.
- Strong written and verbal communication skills for technical and non-technical audiences.
- Hands-on experience with Azure OpenAI, AWS Bedrock, Databricks AI, or similar AI platforms is preferred.
- Experience implementing security controls in MLOps environments and exposure to AI security testing, red teaming, or adversarial attack simulations are preferred.
- Security certifications such as CISSP, GSEC, GIAC, CEH, CSSLP, CCSP, or cloud security certifications are preferred.
- An advanced degree in Information Security, Cybersecurity, Computer Science, or a related discipline is preferred.
Benefits
- Hybrid workforce model with the opportunity to work from home and from an SMBC office.
- Employees must live within a reasonable commuting distance of their office location.
- Specific hybrid schedules are discussed during the interview process.
- Reasonable accommodations are available during candidacy for applicants with disabilities.