AI Security Engineer I

EVERSANA•Overland Park, KS

11d•Onsite

About The Position

The AI Security Engineer I supports the security, governance, and responsible use of AI, Machine Learning (ML), and Generative AI technologies across EVERSANA. This role assists with securing AI-enabled applications, models, and data; conducting security assessments; monitoring emerging AI threats; and implementing security controls aligned with organizational policies and regulatory requirements. Working closely with both IT and business stakeholders, the AI Security Engineer I helps ensure AI solutions are developed, deployed, and operated securely while enabling innovation and managing risk effectively.

Requirements

Bachelor's degree in Computer Science, Cybersecurity, Information Systems, Engineering, or related field, or equivalent experience.
1-3 years of experience in cybersecurity, cloud security, application security, AI engineering, machine learning operations (MLOps), or related technology disciplines.
Strong analytical, troubleshooting, and problem-solving skills.
Foundational understanding of AI/ML concepts, Large Language Models (LLMs), Generative AI technologies, and associated security risks.
Familiarity with AI security topics such as prompt injection, model abuse, data poisoning, model theft, adversarial attacks, and secure AI development practices.
Basic understanding of cloud platforms (Azure, AWS, or Google Cloud) and cloud security principles.
Knowledge of security technologies such as EDR, SIEM, vulnerability management tools, identity and access management (IAM), and security monitoring solutions.
Ability to communicate technical concepts effectively to both technical and non-technical stakeholders.
Demonstrated ability to work collaboratively in cross-functional teams.

Nice To Haves

Exposure to AI/ML development, MLOps platforms, or Generative AI technologies in a professional, academic, or personal project environment.
Experience with cloud-native AI services such as Azure OpenAI, Azure AI Services, Anthropic Claude, AWS Bedrock, Amazon SageMaker, or Google Vertex AI.
Familiarity with AI governance, responsible AI frameworks, NIST AI Risk Management Framework (AI RMF), MITRE ATLAS, OWASP Top 10 for LLM Applications, or similar industry guidance.
Basic scripting or automation experience using Python, PowerShell, or similar languages.
Industry certifications such as: Security+ SC-900, AZ-900, or AI-900 SC-200 or SC-300 CCSK GIAC Foundational Certifications Other relevant cybersecurity, cloud, or AI security certifications
Ability to demonstrate sound judgment, professionalism, and confidentiality.
Excellent written and verbal communication skills.
Demonstrated interest in AI security, emerging technologies, and continuous learning.
Experience supporting cybersecurity projects, security assessments, or governance initiatives.

Responsibilities

Assist in the implementation and maintenance of security controls for Artificial Intelligence (AI), Machine Learning (ML), and Generative AI solutions.
Support security assessments of AI-enabled applications, models, and services to identify vulnerabilities, threats, and misconfigurations.
Participate in threat modeling exercises for AI systems and help identify appropriate security controls and mitigations.
Monitor emerging AI security risks, vulnerabilities, attack techniques, and industry trends, providing recommendations for risk reduction.
Assist with testing and validation of AI security controls, including model protection, data security, and access management measures.
Collaborate with security, data science, engineering, and compliance teams to ensure AI solutions align with organizational security standards, regulatory requirements, and responsible AI principles.
Support governance initiatives related to AI usage, including model inventory management, risk assessments, and policy compliance activities.
Help evaluate and implement security technologies and tools designed to protect AI systems, data pipelines, and cloud-native AI environments.
Contribute to security investigations involving AI platforms and assist with incident response activities related to AI and emerging technologies.
Participate in periodic testing of disaster recovery and business continuity plans for critical AI and business systems.
Document findings, recommendations, and remediation activities in accordance with established security and compliance processes.
Demonstrate a commitment to diversity, equity, and inclusion through continuous development, modeling inclusive behaviors, and proactively managing bias.
Perform other duties as assigned.