AI SECURITY ENGINEER
Care USA
Atlanta, GA · Posted October 21, 2026
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Where Atlanta, GA ranks
Where Atlanta, GA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for education jobs491 openings · of 47
- #1Cities with the most jobs that do not need a four-year degree in the Southeast528 jobs · of 72
- #1Best cities for software and engineering jobs in the Southeast973 openings · of 65
- #2Best all-round cities for remote workers in the Southeast87 / 100 · of 33
- #3Best cities for finance jobs641 openings · of 78
- #3Best cities for clinical jobs152 openings · of 22
Rankings about security jobs
- Best cities for security jobs #1 San Francisco (316 openings)
- Best cities for security pay after cost of living #1 San Mateo ($241k)
- Most requested AI skills in security jobs #1 AI tools in daily work (10.8%)
- Employers with the most security jobs #1 Amazon (318 roles)
How AI is used in this kind of work
Among computer and information research scientists, AI is already used for a large share of the tasks. Measured exposure for computer and information research scientists: 34% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
JOB SUMMARY:
The AI Security Engineer safeguards CARE's AI systems, machine learning pipelines, and agentic AI deployments against emerging threats — including enterprise platforms such as Microsoft 365 Copilot and Anthropic Claude. This role embeds security into the AI development lifecycle, establishes governance frameworks aligned with NIST AI RMF and ISO/IEC 42001, and leads threat modeling, red-team testing, and incident response for AI-related risks. The position collaborates cross-functionally with IT, data, legal, and program teams to ensure responsible, secure AI adoption in support of CARE's humanitarian mission.
RESPONSIBILITIES:
AI System Security & Threat Assessment
Assess and harden AI/ML models, APIs, and inference endpoints against adversarial attacks including prompt injection, model inversion, and data poisoning. Perform threat modeling for generative AI and agentic AI deployments. Conduct red-team exercises against LLMs and AI-powered applications, including jailbreak testing and adversarial prompt analysis. Monitor AI workloads for anomalous behavior, model drift, and signs of compromise. This responsibility directly protects CARE's operational data and the integrity of AI-assisted program delivery.
Security Architecture & Enterprise AI Integration
Partner with engineering and IT teams to integrate security controls into the AI/ML development lifecycle. Design and enforce least-privilege access controls for AI systems and agents. Evaluate and secure enterprise AI platforms — including Microsoft 365 Copilot (plugins, Copilot Studio, Graph-grounded agents) and Anthropic Claude (API integrations, Claude for Enterprise, MCP connectors) — assessing data access scope, permission boundaries, and supply chain exposure. Establish secure data handling practices for training data and model artifacts.
AI Governance & Compliance
Develop and maintain AI security policies, standards, and risk frameworks aligned with NIST AI RMF, ISO/IEC 42001, OWASP LLM Top 10, and MITRE ATLAS. Maintain an inventory of AI systems and assess risk posture, access scope, and data exposure. Support audits and compliance reviews related to AI use. Advise senior leadership (CISO, COO, General Counsel) on evolving AI security risks, threat intelligence, and remediation priorities. Ensure AI adoption remains compliant with applicable data privacy laws and organizational policy.
Incident Response & Security Awareness
Lead or support incident response for AI-related security events including prompt injection attacks, model abuse, and data exfiltration through AI interfaces. Develop playbooks and runbooks specific to AI security incidents. Deliver security awareness training on AI-generated threats such as deepfakes, AI-assisted phishing, and social engineering. Stay current on AI security research, threat actor tactics, and responsible disclosure in the AI security community.