AI Implementation Specialist (AI Governance, Gateways, & Platform Control)

About The Role

Island is seeking an AI Implementation Specialist to help enterprise customers design,

deploy, and operationalize AI governance and control across their organizations. In this role,

you will serve as a trusted advisor on AI strategy, guide large-scale enterprise AI rollouts,

and configure critical AI control points, such as MCP Gateways and custom hooks, to protect

sensitive data and enforce compliance. You will lead technical discovery, deliver executive-

level platform demonstrations, and architect scalable solutions using Island’s Enterprise AI

Platform.

Key Responsibilities

1. Collaborate with customers to gather process and AI strategy requirements, clarify

objectives, define success metrics, and align priorities with Island’s AI Platform

capabilities.

2. Provide consultative guidance to customers on AI security, governance, visibility, and

operationalization best practices, using telemetry to recommend policies that keep

them compliant with organizational and regulatory standards.

3. Design and implement AI governance policies integrated with customer

infrastructure, delivering visibility and control across SaaS and desktop AI

applications and agents.

4. Deliver executive-facing technical demonstrations of Island's AI Platform, tailored to

the customer's industry and use cases.

5. Create documentation, deliver technical enablement sessions, and train customers on

Island’s AI platform.

6. Troubleshoot, maintain, and optimize existing AI deliverables in customer

environments.

7. Engage with customer stakeholders across technical and business teams to ensure

successful deployment and adoption of AI solutions.

Requirements

8. 2+ years in a customer-facing technical role (e.g., Solutions Architect,

Implementation Engineer, Sales Engineer, Technical Account Manager) at an

enterprise SaaS, Cybersecurity, or Cloud infrastructure vendor.

9. 2+ years of enterprise software delivery or technical consulting experience, with

hands-on exposure deploying AI tooling, LLM integrations, or modern API

architectures.

10. Proven track record of guiding Fortune 500 or large enterprise clients through

complex technical deployments or digital transformation initiatives.

11. Strong working knowledge of enterprise security concepts, Data Loss Prevention

(DLP), Zero Trust concepts, and how LLMs handle sensitive data (PII, IP, source

code).

12. Hands-on experience integrating and managing AI control points (e.g., LLM

Gateways, API proxies, inference hooks, or Model Context Protocol connectors).

13. Strong understanding of web application execution, API integration models, and

event-driven architectures (REST, Webhooks, JSON-RPC, JavaScript/browser

execution models).

14. Strong executive communication skills, with a demonstrated ability to translate

complex technical architectures for C-level, security, and business stakeholders.

15. Creative problem-solving skills with a track record of driving successful customer

outcomes in fast-paced, ambiguous environments.

Preferred Qualifications

1. Bachelor’s degree in Computer Science, Cybersecurity, Information Systems, or

equivalent practical experience. Relevant industry certifications (e.g., CISSP, CCSP,

or Cloud/AI Practitioner certifications) are a plus.

2. Practical experience configuring and deploying AI integration layers, LLM Gateways,

or API control points (e.g., Model Context Protocol/MCP, LiteLLM, LangChain, or

custom inference hooks).

3. Familiarity with enterprise Zero Trust architectures, Enterprise Browsers, or endpoint

security platforms.

4. Experience integrating platform telemetry and audit logs with enterprise SIEM or

analytics platforms (e.g., Splunk, Datadog, Microsoft Sentinel).

5. Exposure to AI governance frameworks, data privacy regulations, or enterprise

compliance standards (e.g., NIST AI RMF, EU AI Act, ISO 42001, SOC 2).

Requirements