AI SECURITY ENGINEER

Work Location : US - Atlanta, GAType of Post : Not ApplicableOther Possible Location : Funding : APPROVEDExpected Travel : up to 10%Type of Contract : Language Requirement : EnglishApplication Deadline : Employee Duration : Full-Time

Pay Range Details

$81,083.95 - $113,112.11 Annually
USA Grade F

* Starting salaries are based on various factors, including candidate experience, education, knowledge, skills, and the cost of labor where the job is based. Salaries listed only apply to jobs based in the US.

Job Title:AI SECURITY ENGINEER

Job Location(s):US - Atlanta, GA

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.

Required Qualifications:
- Bachelor's degree in Cybersecurity, Computer Science, Information Systems, or equivalent combination of education and work experience.
- 3+ years in cybersecurity engineering or application security.
- Demonstrated knowledge of AI/ML concepts and common frameworks (PyTorch, TensorFlow, Hugging Face).
- Hands-on LLM security experience: prompt injection, jailbreaking, adversarial input testing.
- Experience securing Microsoft 365 Copilot and Anthropic Claude enterprise deployments. Proficiency in Python for security tooling. Familiarity with cloud security (AWS, Azure, or GCP) for AI/ML workloads.
- Knowledge of NIST AI RMF, OWASP LLM Top 10, MITRE ATLAS, or ISO/IEC 42001.
Preferred Qualifications:
- Experience with agentic AI systems, multi-agent orchestration, and AI workflow automation.
- Familiarity with Copilot Studio, Graph-grounded agents, and MCP connector security. Prior AI governance or responsible AI program involvement.
- Experience in humanitarian, nonprofit, or regulated industry environments.
- Strong written communication skills for translating technical risk to executive leadership.

There are individuals who may use CARE's name and trademark in emails and on websites in an attempt to solicit fees from interested job-seekers. Some examples of these fees are placement fees or immigration processing fees. CARE does not use recruiting or placement agencies that charge candidates an up-front fee of any kind. Occasionally, CARE does employ recruiting or placement agencies to help us identify candidates for specific employment within CARE. If you're contacted by a legitimate recruiting or placement agency, there should be no charge to you. If you suspect that you have been a victim of fraud from someone purporting to be CARE, please contact us at legal@care.org. Please do not email legal@care.org to apply for this position. Instead, click "apply now" below in order to submit your interest.

Starting salaries are based on internal equity, candidate experience, and the cost of labor where the job is based. Salaries listed only apply to jobs based in the US.

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