AI Security Engineer: Secure GenAI & Cloud (Hybrid)

Fisher Phillips, LLP; Atlanta (GA); Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

401(k) with profit sharing

Paid time off

Job summary

Fisher Phillips is seeking an experienced AI Security Engineer to design and implement security controls for enterprise AI systems across cloud and SaaS environments. You will work with cybersecurity, IT, data, privacy, and compliance teams to embed secure development practices.

The role emphasizes threat modeling, data/model protection, and continuous AI security monitoring. Strong Python, cloud security, and risk-based decision making are essential, with Atlanta residency preferred.

Qualifications

• Bachelor's degree in Cybersecurity, Computer Science, Information Technology, Engineering, or a related field.
• 5+ years of security engineering, application/product security, cloud security, software security, or related cybersecurity experience.
• Hands-on experience securing generative AI and LLM systems, including RAG, agents, model/API integrations, and enterprise AI platforms.
• Experience with threat modeling, secure design/SDLC, application/API security testing, IAM, secrets management, and security logging/monitoring.
• Proficiency in Python or another programming/scripting language; experience with APIs, automation, CI/CD, or security tooling.
• Knowledge of AI threats and mitigations, including prompt injection, data leakage/poisoning, model extraction, insecure tool use, excessive agency, and AI supply-chain risk; familiarity with cloud AI services.

Responsibilities

• Design and maintain security architecture for generative AI, machine learning, AI-enabled SaaS applications, agents, APIs, and supporting cloud services.
• Establish security standards, reference patterns, and guardrails for AI development, deployment, integration, and use.
• Perform security reviews and threat modeling for AI solutions, including model access, data flows, retrieval-augmented generation, plugins, tools, agents, and third-party integrations.
• Evaluate AI technologies, models, vendors, and services to ensure security and privacy requirements are incorporated into design and implementation.

Skills

Threat modeling

Secure SDLC

App/API security

IAM & secrets

Security logging

Education

Bachelor's degree in Cybersecurity or related field

Job description

Fisher Phillips is seeking an experienced AI Security Engineer to design and implement security controls for enterprise AI systems across cloud and SaaS environments. You will work with cybersecurity, IT, data, privacy, and compliance teams to embed secure development practices.

The role emphasizes threat modeling, data/model protection, and continuous AI security monitoring. Strong Python, cloud security, and risk-based decision making are essential, with Atlanta residency preferred.