Cloud Artificial Intelligence Security Lead

RESPONSIBILITIES

Kforce has a client in Tampa, FL that is seeking a Cloud Artificial Intelligence Security Lead.

Duties

• Define and implement operational procedures for data cataloging, lineage, governance, and data protection to ensure AI solutions are secure, compliant, and aligned with organizational policies
• Develop policy-driven security controls to protect AI, ML, and cloud-based solutions from data loss and unauthorized access
• Partner with Data Scientists, GenAI Engineers, Developers, MLOps, and Data Governance teams to identify vulnerabilities, implement security best practices, and ensure compliance with standards such as NIST, SOC 2, and applicable regulations
• Lead security assessments, penetration testing, vulnerability management, threat modeling, and risk mitigation activities for AI platforms and applications
• Serve as the AI security SME throughout the design, development, deployment, and operation of AI/ML solutions, with a focus on protecting sensitive and personally identifiable information (PII)
• Establish, document, and deliver AI security standards, procedures, training, and awareness programs across the organization
• Develop and execute security testing strategies for GenAI and AI systems, including validation of confidentiality, integrity, availability, prompt injection resistance, and model security controls
• Collaborate with QA and engineering teams to define test objectives, develop automated security testing, document results, and remediate identified defects or vulnerabilities
• Design and implement security controls, detections, guardrails, and monitoring capabilities that improve the security, reliability, and resilience of AI solutions
• Evaluate and secure AI/ML tools, platforms, libraries, and services while maintaining compliance with enterprise security standards
• Support Enterprise Risk Management efforts by assessing AI systems for ethical risks, bias, fairness, transparency, and responsible AI practices

REQUIREMENTS

• Bachelor's degree in Computer Science, Electrical or Computer Engineering, Statistics,

Econometrics, or related field, or equivalent work experience

• 10+ years of hands-on experience in cybersecurity or information security
• 4+ years of experience with Natural Language Processing (NLP) and Large Language

Models (LLM) desired

• 4+ years of experience working in Microsoft Azure cloud environments (e.g. Azure Cloud

Services, Azure Fabric, Azure Data Factory, Purview Data Governance), as well as Azure AI services, as well as data cataloging practices

• Familiarity with AI testing frameworks and tools such as TensorFlow, PyTorch, or Kerns
• Deep understanding of Machine Learning lifecycles and MLOps
• Deep understanding of the security challenges and controls for Large Language Models

(LLMs), including prompt injections, data poisoning, and model theft

• Demonstrated proficiency with AI/ML fundamental concepts and technologies including ML, deep learning, NLP, and computer vision
• Experience assessing AI systems for ethical considerations and potential biases to make sure they follow ethical standards and encourage inclusivity and diversity

Preferred Qualifications

• Master's degree in Computer Science, Electrical or Computer Engineering, Statistics,

Econometrics, or related field, or equivalent work experience

• 12+ years of hands-on experience in cybersecurity or information security.

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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