AI Platform Engineer at Island

Coppell, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

16 May, 26

Salary

0.0

Posted On

15 Feb, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Development, Scripting, Customer-Facing, RPA Platforms, AI Lifecycle, AI Visibility, Governance, AI Agents, APIs, MCPs, Island Browser, DOM Structure, Prompt Engineering, JavaScript, API Integration, SAML2

Industry

technology;Information and Internet

Description

Island is seeking an AI Platform Engineer to help enterprise customers implement and operationalize AI visibility, governance, and automation capabilities within the Island AI Platform. In this role, you will lead discovery workshops and platform demonstrations, educate customers on Island’s AI capabilities, and build and deploy AI deliverables aligned with customer objectives to accelerate safe and effective enterprise AI adoption. 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. ● Configure and deploy AI visibility and governance capabilities that provide transparency into AI usage, enforce compliance standards, and support responsible enterprise AI practices. ● Build, configure, and deploy AI agents that interact with web applications, APIs, MCPs, and various data sources through the Island Browser. ● Analyze application behavior (DOM structure, APIs, events, and network calls) to design, optimize, and adapt automation strategies. ● Test and validate AI deliverables to ensure quality, reliability, and alignment to customer objectives prior to deployment. ● Troubleshoot, maintain, and enhance existing AI deliverables in customer environments. ● Provide consultative guidance to customers on AI security and governance best practices, ensuring compliance with organizational and regulatory standards. ● Create documentation, deliver technical enablement sessions, and train customers on Island’s AI platform. ● Engage with customer stakeholders across technical and business teams to ensure successful deployment and adoption of AI solutions. Requirements ● 1+ years of software development and/or scripting experience. ● 1+ years of sales or customer-facing experience in technical or enterprise environments. ● Exposure to RPA platforms (UiPath, Blue Prism, etc.) ● Experience working across the AI lifecycle — from ideation and model development to deployment and monitoring. ● Exposure to AI visibility and governance solutions, ensuring compliance and safe AI adoption. ● Exposure to AI frameworks, prompt engineering, MCPs, or AI agent orchestration tools. ● Understanding of the role and value of MCPs in enabling secure, governed, and connected AI use cases. ● Knowledge of DOM manipulation, event handling, and asynchronous programming. ● Strong communication and presentation skills, with the ability to engage both technical and non-technical audiences. ● Strong analytical and problem-solving abilities with the ability to translate business objectives into AI deliverables. ● Self-motivated, organized, and able to work independently while collaborating effectively across cross-functional teams. Preferred Qualifications ● Proficiency in JavaScript (ES6+) with ability to write, debug, and optimize code. ● API integration knowledge. ● Prior experience serving enterprise level customers. ● Prior experience partnering with development teams and customers to iterate on EA products and features. ● Experience in agentic AI bot development or large language model integration. ● Web scraping background. ● Familiarity with SAML2 and FIDO2 based authentication technologies. Requirements null

Responsibilities

The engineer will collaborate with enterprise customers to define AI strategy requirements and objectives, then configure and deploy AI visibility, governance, and automation capabilities within the Island AI Platform. Key tasks include building and deploying AI agents that interact with web applications and APIs, and providing consultative guidance on AI security and best practices.