Security Solutions Principal - AI Security

Qualifications & Experience:

• 10+ years of experience in cybersecurity, with demonstrated leadership in cloud security, application security, infrastructure or AI/ML security domains
• Proven experience leading large-scale security transformations or consulting engagements within complex enterprise environments
• Deep expertise in security architecture, threat modeling, and secure system design across cloud-native and AI-driven platforms
• Strong understanding of enterprise security frameworks (NIST, ISO, CIS) and regulatory environments
• Experience with AI/ML platforms (AWS, Azure, GCP), containerized environments, and infrastructure‐as‐code
• Exceptional communication and executive presence, with the ability to influence both technical and business stakeholders

Salary Range:

Certain states and localities require employers to post a reasonable estimate of salary range. A reasonable estimate of the current base pay range for this position is $153,200 to $191,500 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

Job Summary

• Hands‐on experience leading & operationalizing enterprise AI security and MLSecOps programs, embedding security across the full lifecycle—from data ingestion and model development to deployment, inference, and continuous monitoring—aligned to business risk, regulatory expectations, and enterprise transformation objectives.
• Design and evolve AI security architectures and operating models that address emerging threat vectors such as prompt injection, model supply chain compromise, data poisoning, adversarial attacks, and multi‐agent system failures—driving secure‐by‐design principles across AI, cloud, and digital platforms.
• Lead AI‐specific threat modeling, risk assessments, and control design, translating complex technical risks into actionable mitigation strategies and enterprise guardrails, while enabling scalable and compliant AI adoption across business units.
• Architect and implement end‐to‐end security controls across AI ecosystems, including data pipelines, model artifacts, vector stores, APIs, and agent frameworks—integrating with identity and access management, monitoring, and enterprise security platforms.
• Integrate AI security into enterprise cybersecurity strategy, governance, and operating models—aligning with frameworks such as NIST AI RMF, ISO standards, and industry best practices, while ensuring consistency across DevSecOps, cloud security, and risk management domains.

Client Leadership & Strategic Advisory

• Serve as a trusted advisor to executive stakeholders, translating AI security risks into business‐aligned insights, investment priorities, and transformation roadmaps—enabling secure AI adoption while balancing innovation, resilience, and compliance.
• Lead multiple concurrent AI security projects, end‐to‐end delivery of complex, high‐impact programs across enterprise environments.
• Develop and deliver executive‐level presentations, proposals, and board‐ready materials that articulate AI risk posture, security maturity, and strategic recommendations.

Engineering & Delivery Excellence

• Embed security into AI/ML engineering workflows, including MLOps, DevSecOps, and CI/CD pipelines—ensuring secure development, deployment, and operation of AI systems at scale.
• Drive continuous validation of AI systems through adversarial testing, red teaming, and automated assurance—ensuring resilience against manipulation, privacy leakage, unsafe outputs, and model drift.

Practice Development & Thought Leadership

• Shape and expand AI security offerings and capabilities, contributing to the development of go‐to‐market strategies, methodologies, and reusable frameworks that differentiate the practice in the market.
• Lead business development efforts, including proposal creation, solution design, and client engagement strategy—bringing original thought leadership to each opportunity.
• Mentor and develop high‐performing teams, fostering technical depth, consulting excellence, and continuous learning across AI security, cloud, and emerging technology domains.
• Act as a change agent across client organizations—driving adoption of new security models, influencing stakeholders, and enabling transformation at scale.

Collaboration & Ecosystem Integration

• Partner closely with data scientists, engineers, DevOps teams, and governance stakeholders to embed security into AI system design, development, and operations—ensuring secure and scalable implementation.
• Work across global, cross‐functional teams to establish enterprise standards, reference architectures, and security guardrails for AI and generative AI systems.

If you have any questions or concerns about this posting, please email hr@unitedstatesdigital.space.