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.
Summary
Design, deploy, and operationalize AI governance and control for enterprise customers, including MCP Gateways, custom hooks, technical discovery, executive demonstrations, and scalable Island Enterprise AI Platform solutions. Requires 2+ years in a customer-facing technical role, 2+ years of enterprise software delivery or technical consulting, enterprise security knowledge, and hands-on AI control point integration.
Responsibilities
Collaborate with customers to gather process and AI strategy requirements, define success metrics, and align priorities; provide consultative guidance on AI security, governance, visibility, and operationalization best practices; design and implement AI governance policies integrated with customer infrastructure; deliver executive-facing technical demonstrations; create documentation, enablement sessions, and training; troubleshoot, maintain, and optimize AI deliverables; engage stakeholders across technical and business teams.
Qualifications
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 guiding Fortune 500 or large enterprise clients through complex technical deployments or digital transformation; strong working knowledge of enterprise security concepts, DLP, Zero Trust, and how LLMs handle sensitive data; hands-on experience integrating and managing AI control points; strong understanding of web application execution, API integration models, and event-driven architectures; strong executive communication skills; creative problem-solving in fast-paced, ambiguous environments.
Education requirements
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.
Experience requirements
2+ years in a customer-facing technical role 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.
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.
