AI Implementation & Governance Consultant
Listed on 2026-10-13
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IT/Tech
AI Engineer (Applied/Software), Information Security & Data Protection, Cybersecurity, IT Consultant
AI Implementation & Governance Consultant
Orlando, FL
Type: Contract
Category: Regulatory/Compliance
Industry: Retail
Standard
Hours:
Open
Reference : JN -
Date Posted: 10/05/2026
Shortcut:
Description:
Hybrid 2-3 days on site, maybe flexible after some time in Orlando, FL
Our client seeks an AI Implementation & Governance Consultant to lead secure integration of AI tools across the organization. The consultant will deploy solutions, manage back-end configurations, and serve as the gatekeeper for data privacy and security. The role will ensure all AI usage adheres to corporate security policies and compliance frameworks across enterprise platforms, APIs, and internal tools.
Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $50.00 to $55.00/hr. w2
JN -
Responsibilities:
Lead rollout of enterprise AI tools such as Claude Interprice and Google Gemini to internal teams.
Configure and manage AI backend infrastructure including API gateways, cloud environments (AWS, Azure, GCP), and vector databases for internal AI search.
Partner with department heads to identify safe, high-ROI use cases for AI automation and generative AI.
Contribute to and enforce AI Acceptable Use Policies and data handling guidelines.
Configure RBAC and DLP controls to prevent leakage of sensitive data to public AI models.
Implement OTLP collectors and monitoring. Evaluate inference hooks and AI-centric security tools.
Monitor API usage and prompt logs for vulnerabilities including prompt injection and unauthorized data access.
Ensure deployments comply with ISO 42001, NIST AI RMF, GDPR, HIPAA, and internal IP protection rules.
Assist with Information Security tasks including privacy settings in AI and Google Workspace platforms and monitoring of related policies.
Design and execute AI Incident Response Playbooks for prompt injection, data leakage, and unintended agent execution.
Design and deliver staff training on safe and effective use of AI coding tools, agents, and assistants.
Develop and lead training on Secure Scripting in Google Apps Script to prevent over-privileged scripts, data leakage, and unauthorized external requests.
Detect and manage Shadow AI by controlling unvetted
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