Motion Recruitment | Jobspring | Workbridge

AI Advisor / Information Security Specialist / Risk and Safety / Hybrid

Cherry Hill, New Jersey

Hybrid

Full Time

$100k - $170k

We’re working with a well-known enterprise organization in the Greater Philadelphia area that’s building a specialized arm of its Information Security team. This group will consist of several AI Advisors who will work cross-functionally to assess and guide the safe, secure, and responsible adoption of AI technologies. This is a hybrid, contract-to-hire role requiring on-site presence.

In this role, you’ll operate as an internal consultant embedded within the organization’s top-tier AI strategy team. You’ll help shape enterprise-wide AI enablement by evaluating vendor models and contracts, advising infrastructure and operations teams, and guiding risk and security practices around AI deployment. Success in this role will come from a strong foundation in security assessments, risk frameworks, and model lifecycle management, including exposure to ModelOps, vendor governance, and operational readiness. If you're inquisitive, open to learning, and ready to influence how AI is securely scaled across a large enterprise, this is a unique opportunity to make an impact.

Required Skills & Experience
  • 5+ years in IT, with a focus on security, infrastructure, risk, and cloud environments
  • Hands-on experience or exposure to generative and agentic AI technologies
  • Proven background in GRC, including safety, gap assessments, and risk evaluations
  • Solid understanding of the ITIL lifecycle and change management processes
  • Experience with ModelOps and Model Risk Management (MRN)
  • Strong communication and advisory skills across both technical and business teams
Desired Skills & Experience
  • Experience in enterprise or global organizations
  • Background in advisory or consulting roles with security-focused deliverables
  • Familiarity with business operations and enablement
What You Will Be Doing
Tech Breakdown
  • 50% AI risk and model lifecycle advisory
  • 30% infrastructure and cloud architecture familiarity (AWS, GCP, Azure, on-prem)
  • 20% vendor and contract evaluation (third-party AI products, SASE AI, risk assessments)
Daily Responsibilities
  • 50% cross-functional collaboration and enablement
  • 30% technical advisory embedded in governance (model safety, infra alignment, risk posture)
  • 20% research and learning (labs, maturity building, expert engagement)


Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Posted by: Tallulah Froley

Specialization: