Senior Lead Engineer – AI Security
CBTS•Cincinnati, OH
•$110,000 - $130,000•Hybrid
About The Position
We are looking for a Senior Lead Engineer – AI Security to lead the design and implementation of security frameworks for AI systems and platforms. This role will focus on securing AI/ML models, pipelines, and enterprise AI environments to enable safe, scalable, and compliant AI adoption across the organization.
Requirements
- Strong programming: Python (advanced), Bash / PowerShell
- Hands-on with ML frameworks: PyTorch, TensorFlow
- Experience with Kubeflow or similar MLOps platforms
- Understanding of adversarial ML / AI security (e.g., CleverHans)
- Experience securing AI pipelines, APIs, and inference environments
- Cloud & application security
- Identity & Access Management (IAM)
- Data protection, encryption, and key management
- Malware analysis & digital forensics
- Security operations and incident response
- Bachelor’s degree in Computer Science, IT, or related field
- 12–15 years of overall experience, with: 8+ years in security / IT domains, 3+ years in AI / ML security or related area
Nice To Haves
- Experience with AWS SageMaker or Azure ML
- Exposure to GenAI / LLM security frameworks
- Certifications (Preferred): CISSP / CCSP (ISC2), AWS Security / DevOps certifications, Microsoft Security / Azure certifications (SC-100, AZ-500, AZ-400), GIAC or DevSecOps certifications
- Strong problem-solving and ownership mindset
- Ability to lead cross-functional initiatives
- Excellent communication and stakeholder management skills
- Passion for building secure, scalable AI platforms
Responsibilities
- Design and implement security controls across the AI/ML model lifecycle
- Integrate AI security within MLOps / LLMOps pipelines (CI/CD, guardrails, monitoring)
- Partner with cloud, infrastructure, data, and application teams to embed AI threat models and mitigation strategies
- Secure integration with IAM, secrets management, encryption, and data governance frameworks
- Evaluate and implement tools for AI and model security
- Lead investigation and response for AI-related threats such as model poisoning, hallucination risks, and data leakage
- Develop security standards, architectures, and best practices for enterprise AI workloads
Benefits
- hybrid flexibility
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What This Job Offers
Job Type
Full-time
Career Level
Senior
