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).
Skills Required
- 2+ years of experience in a customer-facing technical role such as Solutions Architect, Implementation Engineer, Sales Engineer, or Technical Account Manager
- 2+ years of enterprise software delivery or technical consulting experience
- Hands-on experience deploying AI tooling, LLM integrations, or modern API architectures
- Experience guiding Fortune 500 or large enterprise clients through complex technical deployments or digital transformation initiatives
- Strong knowledge of enterprise security, Data Loss Prevention, Zero Trust, and LLM handling of sensitive data
- Hands-on experience integrating and managing AI control points such as LLM gateways, API proxies, inference hooks, or Model Context Protocol connectors
- Strong understanding of web application execution, API integration models, and event-driven architectures
- Experience with REST, Webhooks, JSON-RPC, and JavaScript/browser execution models
- Strong executive communication skills and ability to explain complex technical architectures to business and security stakeholders
- Creative problem-solving skills and experience driving customer outcomes in ambiguous environments
- Bachelor’s degree in Computer Science, Cybersecurity, Information Systems, or equivalent practical experience
- Industry certifications such as CISSP, CCSP, or Cloud/AI Practitioner certifications
- Experience configuring AI integration layers, LLM gateways, or API control points using 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 SIEM or analytics platforms such as Splunk, Datadog, or Microsoft Sentinel
- Exposure to AI governance frameworks, data privacy regulations, or enterprise compliance standards such as NIST AI RMF, EU AI Act, ISO 42001, or SOC 2
Island Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Island and has not been reviewed or approved by Island.
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Fair & Transparent Compensation — Pay is described as potentially competitive for certain roles, with high on-target earnings figures and market-level total compensation snapshots mentioned for both sales and some non-sales functions.
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Equity Value & Accessibility — Equity is positioned as a meaningful component in some offers, and an employee secondary event is described as providing liquidity for staff, which can materially increase total rewards for eligible employees.
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Wellbeing & Lifestyle Benefits — Core benefits and on-site perks are described in at least one job-posting style snippet, including medical/dental/vision coverage, disability coverage, paid time off, company holidays, daily lunches, and gym/wellness access for HQ-based employees.
Island Insights
What We Do
What if the enterprise had complete control over the browser? What would it mean for security, for productivity, for work itself? Introducing Island, the Enterprise Browser - the ideal enterprise workplace, where work flows freely while remaining fundamentally secure. With the core needs of the enterprise naturally embedded in the browser itself, Island gives organizations complete control, visibility, and governance over the last mile, while delivering the same smooth Chromium-based browser experience users expect. Led by experienced leaders in enterprise security and browser technology and backed by leading venture funds -- Insight Partners, Sequoia Capital, Cyberstarts and Stripes Capital -- Island is redefining the future of work for some of the largest, most respected enterprises in the world. Welcome to work as it should be.
