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Sr. Front End Engineer, AWS Agentic AI Automated Reasoning (AR)

Amazon is hiring a Sr. Front End Engineer, AWS Agentic AI Automated Reasoning (AR) in Seattle, United States. It pays $185k-$250k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

  • On Level's scale, this software engineer role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Pay on this posting starts 11% higher than the typical software engineer posting on Level.
  • The posting mentions JavaScript, HTML and Css among its tools and skills.
  • Level classes it as a senior role.
  • Amazon has 20,000+ other open roles on Level.

AI in this role

Design and build front-end experiences for AWS agent safety platforms utilizing automated reasoning and neuro-symbolic AI.

JavaScriptHTMLCssReact
front-endautomated-reasoningneurosymbolic-aiagent-safetydistributed-systems
We are building exciting new capabilities in the Amazon Web Services (AWS) Agentic AI Automated Reasoning group by using Automated Reasoning in new, novel and exciting ways to enhance AWS services. The position is based in Seattle, Washington or New York City, New York. As AI workloads become more prevalent, the ones having accurate results will be differentiated from others.

We are seeking a talented and passionate Senior Front End Engineer (SDE) who wishes to work at the intersection of Automated Reasoning and cloud-scale distributed systems, building the trust layer for agents to be used more reliably and in turn pervasively.

As a Senior FEE, you will design, build, and operate Amazon's agent safety platform that enables customers to define boundaries within which agents would operate within. The platform would also provide customers to ensure agents operate in this boundary. You will build the experience for customers to simulate, audit and create these agent boundaries.

This is a unique opportunity to combine front end engineering with automated reasoning technology. You'll work alongside world-class scientists and engineers to turn research breakthroughs in NeuroSymbolic AI into production services that power correctness guarantees for millions of customers. The problems are hard, the impact is enormous, and the team is small enough that your contributions will be highly visible.

Key job responsibilities
- Design and implement core components of the agent safety platform, including policy authoring, policy management, policy audit and agent simulation.
- Deliver agent safety experience in products where customers create agents today eg Kiro, Quick, other agentic platforms.
- Develop and operate the area
- Mentor junior engineers, contribute to technical design reviews, and raise the bar on engineering practices across the team.

Basic qualifications

- 4+ years of non-internship professional front end, web or mobile software development using JavaScript, HTML and CSS experience
- 5+ years of front-end developer creating prototypes or wire-frames for enterprise web applications or workflows experience
- Experience developing with MVC/MVM frameworks (e.g. React.JS, AngularJS, Vue)

Preferred qualifications

- Knowledge of web services technologies such as SOAP, HTTP, WSDL, XSD, and REST
- Experience in a broad range of software design approaches and common UX patterns.

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, NY, New York - 184,900.00 - 250,200.00 USD annually
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually

How we rate this

Sr. Front End Engineer, AWS Agentic AI Automated Reasoning (AR) at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Front EndAutomated ReasoningNeurosymbolic AIAgent SafetyDistributed SystemsJavaScriptHTMLCss

Also common in software engineer jobs at this level

Pay

This job starts at
$185k
Typical software engineer job
$167k

This posting starts 11% above the typical software engineer job. See software engineer jobs

Questions you could be asked

  1. Tell me about a project where front end was part of your work. What did you do?
  2. Tell me about a project where automated reasoning was part of your work. What did you do?
  3. Tell me about a project where neurosymbolic ai was part of your work. What did you do?
  4. Tell me about a project where agent safety was part of your work. What did you do?
  5. Tell me about a project where distributed systems was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Front End, Automated Reasoning, Neurosymbolic AI, Agent Safety, and Distributed Systems. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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