AI Security Engineer I (AI)

Location: Overland Park, Kansas, USA; eligible for hire in select U.S. locations

Salary: USD 103,515–USD 124,372 per year

Company

hirify.global provides commercialization services, products, and technology solutions for the healthcare and life sciences industry, serving biotech and pharmaceutical clients globally.

What you will do

• Implement and maintain security controls for AI, machine learning, and generative AI solutions.
• Assess AI-enabled applications, models, services, data pipelines, and cloud environments for vulnerabilities, threats, and misconfigurations.
• Participate in threat modeling, control testing, validation, and remediation activities.
• Monitor emerging AI attack techniques and recommend risk-reduction measures.
• Support AI governance, model inventory management, risk assessments, policy compliance, and responsible AI initiatives.
• Contribute to investigations, incident response, disaster recovery, and business continuity testing for AI and business systems.

Requirements

• Bachelor’s degree in computer science, cybersecurity, information systems, engineering, or a related field, or equivalent experience.
• 1–3 years of experience in cybersecurity, cloud security, application security, AI engineering, MLOps, or related disciplines.
• Foundational knowledge of AI/ML, large language models, generative AI, and associated security risks.
• Familiarity with prompt injection, model abuse, data poisoning, model theft, adversarial attacks, and secure AI development.
• Basic understanding of Azure, AWS, or Google Cloud and cloud security principles, plus knowledge of EDR, SIEM, vulnerability management, IAM, and security monitoring.
• Strong analytical, troubleshooting, communication, and cross-functional collaboration skills.

Nice to have

• Experience with AI/ML development, MLOps platforms, or generative AI projects.
• Exposure to Azure OpenAI, Azure AI Services, Anthropic Claude, AWS Bedrock, Amazon SageMaker, or Google Vertex AI.
• Knowledge of AI governance frameworks, NIST AI RMF, MITRE ATLAS, or OWASP Top 10 for LLM Applications.
• Basic scripting or automation with Python or PowerShell.
• Relevant cybersecurity, cloud, or AI security certifications.

Culture & Benefits

• Full-time employment, five days per week, with approximately 15% annual travel.
• Work in a healthcare and life sciences environment focused on improving patient lives.
• Inclusive culture emphasizing diversity, equity, inclusion, collaboration, accountability, and continuous learning.
• Competitive salary and benefits for eligible U.S. locations.
• Reasonable accommodation is available during employment and the hiring process.