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

Island · island.io
DallasOn-siteMid level2+ yrs
Apply on Island’s site

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Subscribers got this job on 4 October 2026. New jobs reach them at 8 am and 6 pm, 5 days before they open here. Get the next one first

The job in short

AI governance and control implementation for enterprise customers.

JavaScriptLLMLLMsLangChainSaaSCybersecurityCompliance

Details

Found
27 d ago · posted 2026-10-04
Location as listed
Dallas HQ
Role
Customer Success
Source
The company’s own careers site

Full description

Description 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 • Collaborate with customers to gather process and AI strategy requirements, clarify • objectives, define success metrics, and align priorities with Island’s 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 customers industry and use cases. • Create documentation, deliver technical enablement sessions, and train customers on • Island’s AI platform. • Troubleshoot, maintain, and optimize existing AI deliverables in customer • environments. • Engage with customer stakeholders across technical and business teams to ensure • successful deployment and adoption of AI solutions. Requirements • 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. • Proven track record of guiding Fortune 500 or large enterprise clients through • complex technical deployments or digital transformation initiatives. • 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 Qualifications • 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. • 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). • Exposure to AI governance frameworks, data privacy regulations, or enterprise • compliance standards (e.g., NIST AI RMF, EU AI Act, ISO 42001, SOC 2). Benefits • Comprehensive health, dental, and vision coverage • 401(k) with company match • Generous paid time off and company holidays • Professional development and continuous learning opportunities • Highly collaborative, performance-driven culture Island is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or veteran status.Island is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or veteran status.

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