AI Implementation & Governance Consultant

Eliassen Group; Orlando (FL); Hybrid; USD 69,000 - 76,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401k with company matching

Life insurance

Job summary

Eliassen Group is seeking an AI Implementation & Governance Consultant to lead secure integration of AI tools across the organization. The role will deploy solutions, manage back-end configurations, and ensure compliance with security policies across enterprise platforms, APIs, and internal tools.

The position is hybrid (2–3 days on site in Orlando, FL) with potential flexibility after onboarding, and requires W2 employment with a comprehensive benefits package including Medical, Dental, Vision,

Qualifications

• 3+ years in IT Systems Administration, Cloud Architecture or Cybersecurity.
• Hands-on experience configuring enterprise cloud environments and managing API integrations.
• Strong understanding of LLMs, AI infrastructure, and security risks.

Responsibilities

• Lead rollout of enterprise AI tools across internal teams.
• Configure and manage AI backend infrastructure, including API gateways and cloud environments.
• Enforce AI Acceptable Use Policies and data handling guidelines.
• Configure RBAC and DLP controls to prevent data leakage to public AI models.
• Monitor API usage and prompt logs for vulnerabilities.
• Ensure deployments comply with ISO 42001, NIST AI RMF, GDPR, HIPAA.
• Assist with information security tasks including privacy settings in AI and Google Workspace.

Skills

IT Systems Administration

Cloud Architecture

Cybersecurity

LLMs

AI infrastructure

Data compliance

Tools

API integrations

Job description

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 -102026-108928

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 AI domains and API calls and training staff on allowed usage.


• Evaluate third-party AI vendors for security posture, data retention, and model training opt-outs.


• Audit vendors and sub-processors for AI supply chain risk and feature creep.


• Audit model supply chains, data provenance, and dataset scrubbing pipelines prior to integration with vector databases or internal RAG models.


• Manage API key lifecycles, rate limiting, and cost-control guardrails.


• Maintain secure integrations between internal databases and AI tools with proper authentication.

Experience Requirements

• 3+ years in IT Systems Administration, Cloud Architecture, or Cybersecurity.


• Hands-on experience configuring enterprise cloud environments and managing API integrations.


• Strong understanding of LLMs, AI infrastructure, and security risks associated with Generative AI.


• Familiarity with data compliance frameworks and implementation of DLP controls.


• Ability to translate complex technical and security concepts for non-technical stakeholders.

Education Requirements