AI Security Engineer I

EVERSANA provides commercialization services and solutions to the life sciences industry. The AI Security Engineer I supports the secure, governed, and responsible use of AI, machine learning, and generative AI technologies by assessing risks, implementing controls, monitoring threats, and supporting governance and incident response activities.

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

Preferred

• 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

AI/ML Development

MLOps Platforms

Azure OpenAI

Azure AI Services

Anthropic Claude

AWS Bedrock

Amazon SageMaker

Google Vertex AI

AI Governance

Responsible AI Frameworks

NIST AI RMF

MITRE ATLAS

OWASP Top 10 for LLM Applications

Python

PowerShell

CompTIA Security+

AI-900

CCSK

GIAC Foundational Certifications

Cybersecurity Certifications

Cloud Certifications

AI Security Certifications

Cybersecurity Project Support

Security Assessments

Governance Initiatives

Sound Judgment

Professionalism

Confidentiality

Written Communication

Verbal Communication

Interest in AI Security

Interest in Emerging Technologies

Continuous Learning

Company

Global life sciences commercialization and patient services provider

Chicago, Illinois, USA

https://www.eversana.com/

Founded in 2018

5001-10000 employees

Qualifications

• 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
• Travel – 15% annually
• Hours – Full-time, 5 days per week

Office: While performing the essential functions of this job the employee is frequently required to reach, grasp, stand and/or sit for long periods of time (up to 90% of the shift), walk, talk and hear; occasionally required to lift and/or move up to 25 pounds. The noise level in the work environment is usually moderately quiet, with frequent interruptions and multiple demands

• 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
• 1-3 years of experience in cybersecurity, cloud security, application security, AI engineering, machine learning operations (MLOps), or related technology disciplines.

Required skills

AI Security, Artificial Intelligence and Machine Learning, Large Language Models (LLMs), Generative AI, Secure AI Development, Cloud Security, Azure, AWS, Endpoint Detection and Response (EDR), Security Information and Event Management (SIEM), Identity and Access Management (IAM), Python

Preferred skills

• Industry certifications such as:, + Security+, + SC-900, AZ-900, or AI-900, + SC-200 or SC-300, + CCSK, + GIAC Foundational Certifications, • Excellent written and verbal communication skills, Glassdoor, 3.3, Chicago, Illinois, USA, https://www.eversana.com, H1B Sponsorship, Data Powered by, Distribution of Different Job Fields Receiving Sponsorship, 50, Represents job field similar to this job, Engineering and Development, Management and Executive, Customer Service and Support, Sales, Marketing, Product Management, Education and Training, Trends of Total Sponsorships, *2026, (23), 2025, (26), 2024, (8)

Experience

1-3 years