AWS Applied AI Solutions (AAIS) is building toward a future where every business innovates with Amazon AI teammates. To get there, we build AI solutions that improve human capabilities and transform entire business functions. We create end-to-end products that surprise and delight out-of-the-box, making complex things easy and hard things possible, with no cloud experience required. We start with customers who embrace the future and build bridges to meet the rest where they are. We pursue ambitious opportunities with conviction, and we are looking for builders who share that mindset.
Do you want to build the agentic experiences that millions of administrators rely on to run their cloud desktops? The AWS WorkSpaces Forefront team is reinventing how customers discover, onboard, and manage WorkSpaces by embedding generative AI directly into our consoles and SDK. As a Front End Engineer, you will build the customer-facing surfaces of our agentic harness - the always-on platform layer that hosts our LLM agents: a streaming conversational surface where admins ask questions and get grounded answers, agentic wizards (Quick Setup, Create WorkSpace, catalog management) where the agent recommends and the customer confirms, and the feedback and telemetry that turn every interaction into signal for our ranking and evaluation systems. These surfaces ship in the WorkSpaces Console on a shared platform that powers AI experiences across multiple WorkSpaces products, and you'll build and own features on it alongside a team of strong engineers.
We are a fungible mix of front-end, back-end, and ML/AI engineers driving higher customer conversion through AI-powered onboarding, building a suite of AI capabilities into our consoles - LLM agents, personalization, recommendations, and experimentation - and unifying our platform at the architectural level. On the front end, that means rendering streamed agent responses and tool-call progress in real time, designing human-in-the-loop confirmation flows for agents that act on a customer's behalf, building bounded-choice wizards that collapse a dozen decisions into one guided path, and instrumenting conversion funnels and A/B experiments so we can prove each change is better for customers. Our consoles are built in TypeScript and React on Cloudscape (the AWS design system) and are moving toward a federated console architecture.
At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. As a Front End Engineer II, you'll own features end to end - from UX collaboration and design through implementation, testing, launch, and operation - on surfaces that directly move customer conversion. You'll work alongside senior engineers on the harder, more ambiguous problems, participate in design and code reviews, and partner with UX designers, applied scientists, and backend engineers to bring agentic experiences to customers. Because the harness is a multi-product platform, what you build is reused by every team shipping AI experiences on it.
Key job responsibilities Build the conversational and agentic wizard surfaces of the harness - streaming chat UI, tool-call and progress rendering, result cards, and human-in-the-loop confirmation and hand-off flows - in TypeScript/React on Cloudscape in the WorkSpaces Console.
Build guided onboarding and provisioning experiences (Quick Setup, Create WorkSpace, catalog management) where the agent recommends and the customer confirms, with clear paths back to the full console for everything else.
Instrument the customer journey end to end - feedback capture, recommendation acceptance, funnel events - and build the front-end side of our A/B experimentation, so agent quality and conversion are measured, not guessed.
Help define the front-end contract with the harness backend: typed interfaces for agent responses, tool results, and streaming, co-designed with backend engineers so new expert agents render correctly without bespoke UI work.
Deliver accessible (WCAG), localized, and performant experiences - streaming latency, bundle size, perceived responsiveness - and share in operational excellence for the console surfaces (availability, client-side error monitoring, on-call readiness).
Contribute reusable components and patterns to the shared platform and to our federated console architecture so product teams can build agentic surfaces consistently.
Write well-tested, maintainable code; participate in design and code reviews; and help onboard new engineers and interns.
A day in the life You might spend the morning building the streaming response renderer for a new expert agent and wiring its confirmation step, pair with a UX designer at midday to iterate on the Create WorkSpace recommendation card against customer feedback, and in the afternoon add funnel instrumentation and read out an A/B experiment with an applied scientist - then ship it behind a feature flag. You'll operate in an agile environment where development cycles are measured in weeks, see your work reach customers quickly, and learn from senior engineers tackling the hardest parts of the platform.
WorkSpaces Forefront owns the admin experience across the WorkSpaces Consoles (Personal, Applications) and the WorkSpaces SDK. We're building an agentic control plane for Console and programmatic experiences - an agentic harness (LLM agents, routing, ranking, personalization, memory, knowledge bases, MCP tools, and evaluation) plus experimentation and closed-loop learning - while unifying key infrastructure toward a federated console architecture.
About the team Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic qualifications
- 2+ years of non-internship professional front end, web or mobile software development using JavaScript, HTML and CSS experience
- 1+ years of computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis) experience
- Experience using JavaScript frameworks such as angular and react Preferred qualifications
- 1+ years of agile software development methodology experience
- Experience with common front-end technologies such as HTML, CSS, JS, TypeScript, and Node
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually
