AI Implementation Specialist (AI Governance, Gateways, Platform Contro

Role & responsibilities

• Collaborate with customers to gather process and AI strategy requirements, clarify objectives, define success metrics, and align priorities with Islands AI Platform capabilities

• 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

• Design and implement AI governance policies integrated with customer infrastructure, delivering visibility and control across SaaS and desktop AI applications and agents

• Deliver executive-facing technical demonstrations of Island's AI Platform, tailored to the customer's industry and use cases

• Create documentation, deliver technical enablement sessions, and train customers on Islands AI platform

• Troubleshoot, maintain, and optimize existing AI deliverables in customer environments
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  Engage with customer stakeholders across technical and business teams to ensure successful deployment and adoption of AI solutions

Required

• 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

• 2+ years of enterprise software delivery or technical consulting experience, with hands-on exposure deploying AI tooling, LLM integrations, or modern API architectures

• Strong working knowledge of enterprise security concepts, Data Loss Prevention (DLP), Zero Trust concepts, and how LLMs handle sensitive data (PII, IP, source code)

• Hands-on experience integrating and managing AI control points (e.g., LLM Gateways, API proxies, inference hooks, or Model Context Protocol connectors)

• Strong understanding of web application execution, API integration models, and event-driven architectures (REST, Webhooks, JSON-RPC, JavaScript/browser execution models

• Strong executive communication skills, with a demonstrated ability to translate complex technical architectures for C-level, security, and business stakeholders

• Creative problem-solving skills with a track record of driving successful customer outcomes in fast-paced, ambiguous environments

Preferred candidate profile

• 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)

• Familiarity with enterprise Zero Trust architectures, Enterprise Browsers, or endpoint security platforms

• Experience integrating platform telemetry and audit logs with enterprise SIEM or analytics platforms (e.g., Splunk, Datadog, Microsoft Sentinel)

• Experience integrating platform telemetry and audit logs with enterprise SIEM or analytics platforms (e.g., Splunk, Datadog, Microsoft Sentinel)