AI SECURITY ENGINEER

CARE; Atlanta (GA); On-site; USD 81,000 - 113,000; Full time

Job summary

CARE in Atlanta, GA is seeking an AI Security Engineer to safeguard CARE's AI systems, ML pipelines, and agentic deployments across enterprise platforms. You will embed security into the AI development lifecycle, align with NIST AI RMF and ISO/IEC 42001, and lead threat modeling and incident response for AI risks.

The position collaborates with IT, data, legal, and program teams to ensure responsible, secure AI adoption in support of CARE's humanitarian mission.

Qualifications

• Bachelor's degree in Cybersecurity, Computer Science, Information Systems or equivalent.
• 3+ years in cybersecurity engineering or application security.
• Hands-on LLM security experience with prompt injection and adversarial testing.
• Experience securing Microsoft 365 Copilot and Anthropic Claude enterprise deployments.
• Proficiency in Python for security tooling.
• Knowledge of NIST AI RMF, OWASP LLM Top 10, MITRE ATLAS, ISO/IEC 42001.

Responsibilities

• AI System Security & Threat Assessment: Assess and harden AI/ML models, APIs, and endpoints against adversarial attacks.
• Security Architecture & Enterprise AI Integration: Design and enforce least-privilege access controls; secure data handling practices.
• AI Governance & Compliance: Develop security policies and risk frameworks; support audits and leadership.
• Incident Response & Security Awareness: Lead or support AI security incident response; develop playbooks and training.

Skills

AI security engineering

Education

Bachelor's degree in Cybersecurity, Computer Science, Information Systems

Tools

Python for security tooling

Job description

Work Details

Work Location: US - Atlanta, GA

Type of Post: Not Applicable

Funding: APPROVED

Expected Travel: up to 10%

Language Requirement: English

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.

Who We Are

As a global leader, CARE is shaping the future of the humanitarian and development sector. Each year, we deliver support and services to millions of people globally. We do this by focusing on our mission and vision, and the values of equality and excellence that guide our organization. We seek dedicated individuals who align with our mission and are passionate about making it a reality by collaborating with others, embracing learning and innovation, and delivering results.

What We Are Looking For

At CARE, we value diversely talented people who can bring different experiences and perspectives to our organization. We know that not all applicants will have every skill and qualification. We encourage everyone who meets the minimum required qualifications to apply. Having one or more of the preferred qualifications will strengthen an application. But, even if you are earlier in your career or followed a non-traditional educational or professional path, we hope you will consider a career at CARE.

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.

CARE is an Equal Opportunity employer. We provide equal employment opportunities to all employees and qualified applicants for employment without regard to race, color, sex, religion, ancestry, national origin, age, disability, marital status, or veteran status, or any other characteristics protected under applicable law.

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.