AI Security Engineer — Secure AI & Cloud Solutions

Socket.dev; Charlotte (NC); On-site; USD 120,000 - 180,000; Full time

Job summary

Socket.dev is seeking an AI Security Engineer in Charlotte, NC to implement and validate security controls for AI-enabled applications across Azure and AWS cloud platforms.

You will work with AI engineering, platform, cybersecurity, governance, and architecture teams to ensure secure, compliant, and operational AI solutions, including RAG and agentic workflows. The role requires hands-on security engineering and knowledge of cloud and AI security concepts.

Qualifications

• Bachelor’s degree or equivalent education, training, and work‑related experience.
• Minimum of 5 years of experience in security engineering or related cybersecurity roles.
• Advanced knowledge in cybersecurity principles, theories, and concepts.
• Proven experience in software development lifecycle security practices.
• Advanced knowledge of threat modeling, security testing, and penetration testing.
• Experience implementing and managing complex information security technologies.
• Understanding of AI and LLM security concepts including prompt injection, jailbreak techniques, sensitive data exposure, tool‑use risks, model misuse, and output handling concerns.
• Familiarity with AI‑enabled applications, intelligent agents, automation platforms, or generative AI solutions.
• Knowledge of cloud‑native security principles, access control, identity management, secrets handling, and secure integration design.
• Understanding of monitoring, logging, alerting, and observability concepts.
• Familiarity with no‑code, low‑code, and pro‑code development environments and associated security considerations.
• Strong analytical, troubleshooting, and problem‑solving skills.
• Effective written and verbal communication skills.

Responsibilities

• Implement and maintain security controls for AI-enabled applications, agentic workflows, intelligent automation solutions, and AI platforms.
• Support secure integration of AI services, APIs, orchestration frameworks, and external tool connections.
• Configure and validate security controls including identity protections, access controls, secrets management, logging, monitoring, and deployment safeguards.
• Assist engineering teams in implementing secure patterns for AI and generative AI solutions.
• Support AI solution development across no-code, low-code, and pro-code environments.
• Participate in security architecture reviews, threat modeling activities, and AI security assessments.
• Assist in identifying security risks, design weaknesses, and control gaps within AI-enabled solutions.
• Perform validation testing to verify effectiveness of implemented controls and security requirements.
• Support adversarial testing, misuse-case analysis, vulnerability assessments, and deployment readiness reviews.
• Document findings, recommendations, remediation activities, and validation results.
• Build and maintain monitoring and alerting capabilities for AI-enabled applications and workflows.
• Develop and enhance detection logic designed to identify suspicious prompts, unusual workflow behavior, unauthorized access attempts, and policy violations.
• Support collection and analysis of telemetry used to monitor AI system health, security, and compliance.
• Assist cybersecurity operations teams with investigation and remediation of AI-related security events.
• Partner with software engineering, platform, product, architecture, and cybersecurity teams to implement security requirements throughout the development lifecycle.
• Support project teams by providing technical guidance on secure implementation practices and control requirements.
• Participate in design reviews, working sessions, and implementation discussions to ensure security considerations are included early in the delivery process.
• Assist in remediation planning and implementation activities for identified security findings.
• Stay current on emerging AI security risks, threats, technologies, and industry trends.
• Contribute to the improvement of AI security controls, monitoring capabilities, testing practices, and implementation standards.
• Assist in the development of security documentation, implementation guides, runbooks, and operational procedures.
• Support automation efforts that improve security efficiency, consistency, and control effectiveness.

Skills

Cybersecurity principles

Threat modeling

Security testing

Analytical thinking

Communication skills

Education

Bachelor’s degree or equivalent

Tools

Azure OpenAI

Azure AI Services

Azure AI Foundry

Copilot Studio

Amazon Bedrock

AWS security services

Job description

Socket.dev is seeking an AI Security Engineer in Charlotte, NC to implement and validate security controls for AI-enabled applications across Azure and AWS cloud platforms.

You will work with AI engineering, platform, cybersecurity, governance, and architecture teams to ensure secure, compliant, and operational AI solutions, including RAG and agentic workflows. The role requires hands-on security engineering and knowledge of cloud and AI security concepts.