Jobs in the United States

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Added 1 min ago
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Equinix LLC

AI/Machine Learning Experience Engineer

United States

Apply on equinix.wd1.myworkdayjobs.com About employer

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Job details

Posting language: English
Posted: Nov 13, 2026

Original job description

Who are we? Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet.

A place where tech thinkers and future builders turn bold ideas into breakthrough experiences, we welcome your unique perspective.

Help us challenge assumptions, uncover bias, and remove barriers - because progress starts with fresh ideas. You’ll find belonging, purpose, and a team that welcomes you - because when you feel valued, you’re empowered to do your best work.

Job Summary Designs, builds and improves the user and builder experience of Equinix’s AI products and platforms, including conversational AI, agents and agent-building tools. Combines interaction design with engineering: prototypes working interfaces and conversation flows, tests them with real users and builders, and ships the results into production. Makes AI behavior understandable and controllable: clear responses, visible sources, graceful failure, human escalation and easy feedback. Measures experience quality with data and converts findings into product and engineering changes. Works in a team with senior engineers, designers and product managers, and with platform, security and business partners.

Knowledge and Application Applies solid knowledge of human-AI interaction principles, conversation design and front-end engineering, plus working knowledge of LLM and agent concepts (prompting, retrieval, tool calling, orchestration). Understands usability research methods, accessibility standards (WCAG) and experience metrics. Understands what builders need from agent and platform tooling: clear APIs, documentation, debugging and observability. Follows established design and engineering standards and suggests improvements.

Complexity and Problem Solving Works on problems of defined scope where analysis requires evaluation of identifiable factors. Diagnoses why users or builders struggle (unclear responses, wrong expectations, missing controls, poor tooling) using usage data, session traces and feedback, and applies existing patterns to fix it. Judges whether a metric reflects real experience quality. Escalates unusual or high-impact issues. Work is reviewed at defined checkpoints.

Collaboration and Interaction Works with AI engineers, product managers, designers, researchers, platform and security teams. Explains usability findings and design tradeoffs to partners who are not familiar with the subject. Gathers input from end users and builders, and shares knowledge with the team.

Responsibilities

Experience engineering

Build interactive prototypes and production interface components for AI products: chat and voice flows, agent workspaces, builder consoles and admin tools
Design and implement conversation flows and response patterns: tone, structure, clarifying questions, source citations, confidence cues, error handling, and handoff to a person
Implement controls that keep users in charge: review and edit before action, confirmation for high-impact steps, undo, and clear scope of what the AI can do
Capture feedback inside the product (ratings, edits, dismissals) and route it to the teams that act on it
Contribute to a shared component library and design system for AI interfaces
Write unit and end-to-end tests for interface components

Builder and developer experience

Improve the experience of people who build on the platform: onboarding, documentation, templates, SDKs, and tools for testing and debugging agents
Reduce time to first working agent, and track where builders get stuck

Research and measurement

Plan and run usability tests, interviews and session reviews with users and builders
Define and track experience metrics: task completion, time to complete, adoption, retention, escalation rate, satisfaction, and builder time to first use
Work with evaluation engineers to add experience criteria (clarity, helpfulness, appropriate tone) to evaluation rubrics and acceptance tests
Turn findings into prioritized recommendations and backlog items

Quality and responsible practice

Apply accessibility, localization and inclusive design requirements
Work with InfoSec and Legal on disclosure, consent, data-handling notices and AI-generated-content labeling
Check that interface behavior matches model and policy behavior (what the AI says it can do, versus what it can do)

Qualifications

Required

1-4 years in front-end, full-stack, design engineering, UX engineering or AI/ML engineering
Bachelor’s degree in computer science, human-computer interaction, design, engineering or a related field, or equivalent experience
Proficiency in JavaScript or TypeScript and a modern front-end framework (e.g., React), and working Python for prototyping with models and APIs
Portfolio or work samples showing shipped or prototyped interfaces, including at least one that uses LLMs or conversational interaction
Working knowledge of LLM applications (prompting, retrieval, agents) and of how model behavior affects the user experience
Familiarity with usability testing methods and accessibility standards
Ability to read usage data and write basic SQL
Clear written and verbal communication, including with non-technical partners

Nice to have

Experience designing for conversational AI, voice interfaces or agent-builder tools
Experience with design tools (e.g., Figma) and design systems
Experience with product analytics, A/B testing or session-replay tools
Experience with LLM evaluation or observability tools
Experience building developer tools, SDKs or documentation
Familiarity with responsible-AI guidelines for human-AI interaction
MS in a related field

What success looks like

Users complete target tasks with AI products faster and with fewer escalations, tracked on a shared metric set
Builders get a first working agent faster, with fewer support requests
Every AI product has defined experience criteria that are tested before release
User feedback reaches the backlog and becomes shipped changes
The engineer takes on larger, less defined work each quarter with decreasing guidance

The targeted pay range for this position in the following location is / locations are:

United States - Dallas Infomart Office DAI : 138,000 - 208,000 USD / Annual

Canada - Toronto Office TRO : 102,000 - 152,000 CAD / Annual

Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location.The pay range shown is based on our compensation structure in place at the time of posting and may be updated periodically based on business needs. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training.

The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position.

Equinix Benefits As an employee, you become important to Equinix’s success. We ensure all your benefits are in line with our core values: competitive, inclusive, sustainable, connected and efficient. We keep them competitive within the current marketplace to ensure we’re providing you with the best package possible. So, wherever you are in your career and life, you’ll be able to enhance your experience and bring your whole self to work.

Employee Assistance Program: An Employee Assistance program is available to all employees.

US Benefits: - Insurance: You may enroll in health, life, disability and voluntary plans that are designed for you and your eligible family members. - Retirement: You and Equinix may contribute to a retirement plan to help you plan for your financial future. - Paid Time Off (PTO) and Paid Holidays: You will receive an accrued amount of PTO each pay period along with various paid holidays for you to rest and recharge. Eligibility requirements apply to some benefits. Benefits are subject to change and may be subject to specific plan or program terms.

Canada Core Benefits: - Insurance: You may enroll in healthcare coverage that is designed to complement the provincial healthcare system, along with life, disability and optional benefit plans that are designed for you and your eligible family members. - Retirement: You may also enroll in Equinix-sponsored retirement or savings plans: Defined Contribution Pension Plan (DCPP), Group Retirement Savings Plan (RRSP) and Tax-Free Savings Plan (TSFA). - Vacation and Paid Holidays: Equinix offers both vacation and personal time, along with various paid holidays for you to rest and recharge. Eligibility requirements apply to some benefits. Benefits are subject to specific plan or program terms, and to change at Equinix discretion.

Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form.

Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.

We use artificial intelligence in our hiring process. Learn more here.

This posting is a new position within our organization.

Apply on equinix.wd1.myworkdayjobs.com About employer

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Jobs in the United States