Alexa is the pathbreaking intelligent agent that has changed customers’ lives and made voice driven experiences a reality today. If you are passionate about innovating in the space of generative AI and are a highly-motivated, talented software engineer who wants to bring gen-AI into the lives of our youngest customers, then come join the Alexa Kids Experience team. To realize our vision of making Alexa a fun, supportive, and educational companion for kids, engineers on our team must innovate to build unique Alexa features from ground-up and solve a range of machine learning challenges across the Alexa architecture. We leverage generative AI, distributed systems, knowledge graph, and much more, to build solutions that scale to millions of devices and customers across the globe.
If you are holding out for an opportunity to:
- Learn and work with gen-AI technology
- Make a huge impact as an individual
- Create applications at a massive scale used by millions of people
- Work with machine learning systems to deliver real experiences, not just research
- Be part of a team of smart and passionate professionals who will challenge you to grow every day
And you constantly look for opportunities to…
- Innovate, simplify and increase efficiencies
- Use data to make decisions and validate assumptions
- Automate processes otherwise performed by humans
- Learn from others and help grow those around you
...then we would love to chat!
In 2025, we are building new products and features from ground up with generative AI and we are looking for strong, bias for action engineering leaders who are not afraid of taking bold bets and trying new things to improve customer experience for Alexa.
As part of a growing team, you will be iterating on new features and products to help drive innovation and expansion. You will work on cross-functional and cross-domain opportunities. You will be instrumental in setting the team culture, quality bar, engineering best practices, and norms. Mentoring and growing the team around you will be one of the primary ways you measure your own success. You will have the opportunity to contribute and develop deep expertise in the areas of generative AI, distributed systems, machine learning, conversational technologies.
This role is exciting for engineers who love to apply startup mindset to their day-to-day, enjoy working cross-functionally to master both business and technology knowledge, and are passionate about building engineering best practices. If you are looking for opportunity to learn, grow and lead, this is the position for you.- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit
https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
