Security Solutions Analyst - AI Security

Role Description

Support the implementation and operation of AI security and MLSecOps initiatives across the AI lifecycle, including data ingestion, model development, deployment, and monitoring.

• Assist in identifying and analyzing AI-specific risks such as prompt injection, data poisoning, and model misuse, contributing to secure-by-design practices.
• Participate in AI security assessments, helping document risks, controls, and mitigation strategies under guidance from senior team members.
• Contribute to the implementation of security controls across AI systems, including data pipelines, APIs, and model environments.
• Support alignment with enterprise security frameworks and standards such as NIST AI RMF, ISO, and internal governance policies.

Key Responsibilities

• Delivery & Execution
  • Assist in conducting AI/ML risk assessments, threat modeling exercises, and control evaluations.
  • Support the deployment and testing of security controls within AI/ML pipelines and cloud environments.
  • Help monitor AI systems for vulnerabilities, anomalies, and compliance issues.
  • Contribute to security testing activities such as basic adversarial testing and validation under supervision.
• Engineering & Technical Support
  • Work alongside engineers and consultants to integrate security into MLOps and DevOps workflows.
  • Support secure configuration of cloud-based AI platforms (e.g., AWS, Azure, GCP).
  • Assist with documentation of system architectures, security requirements, and technical findings.
• Client Support
  • Contribute to client deliverables including reports, presentations, and documentation.
  • Support project teams in meeting deadlines and maintaining quality standards.
  • Participate in client meetings, capturing notes and action items.
• Learning & Development
  • Build foundational knowledge in AI security, cloud security, and cybersecurity frameworks.
  • Stay informed on emerging AI threats, vulnerabilities, and industry trends.
  • Participate in internal training and knowledge-sharing initiatives.
• Collaboration
  • Work closely with cross-functional teams including developers, engineers, and security professionals.
  • Support implementation of enterprise AI security standards and best practices.

Qualifications

• 0–3 years of experience in cybersecurity, IT, software engineering, or a related field
• Basic understanding of cybersecurity principles (network security, IAM, application security)
• Exposure to cloud platforms (AWS, Azure, or GCP) and/or AI/ML concepts is a plus
• Familiarity with scripting or programming (e.g., Python) preferred
• Strong analytical, problem-solving, and communication skills
• Eagerness to learn and grow in AI security and consulting environments

Requirements

• A reasonable estimate of the current base pay range for this position is $70,000 to $80,000 annually.
• Actual salary will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs.
• The range for this position in other geographic locations may differ.
• Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base pay.

Benefits

• Health and Wellbeing: Health, Dental, and Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness program
• Financial Benefits: Competitive pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Tuition Reimbursement
• Paid Time Off: PTO and Sick Leave (starting at 20 days per year) & Holidays (10 per year), Parental Leave, Military Leave, Bereavement
• Additional Perks: Nursing Mothers Benefits, Voluntary Legal, Pet Insurance, Employee Discount Program