Senior Applied Scientist, AWS Agentic AI Science
Senior Applied Scientist, AWS Agentic AI Science
Posted on :
13-06-2025
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1 Vacancy
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Job Description
We are looking for a Senior Applied Scientist with experience in building services and tools for developers that leverage artificial intelligence and machine learning. You will be part of a team building the next generation of AI agents for software builders. The team continuously pushes the frontier of agentic AI capabilities throughout the entire software development life-cycle. If you are excited about working in cloud computing and building new AWS services then wed love to talk to you.
As an Applied Scientist you are recognized for your expertise advise team members on a range of machine learning topics and work closely with software engineers to drive the delivery of end-to-end modeling solutions. Your work focuses on ambiguous problem areas where the business problem or opportunity may not yet be defined. The problems that you take on require scientific breakthroughs.
You take a long-term view of the business objectives product roadmaps technologies and how they should evolve. You drive mindful discussions with customers engineers and scientist peers. You bring perspective and provide context for current technology choices and make recommendations on the right modeling and component design approach to achieve the desired customer experience and business outcome.
Key job responsibilities
Understand the challenges that developers face when building software today and develop generalizable solutions. Collaborate with developers and pave the way towards bringing your solution into production systems. Lead cross team projects and ensure technical blockers are resolved. Communicate and document your research via publishing papers in external scientific venues.
About the team
The Amazon Web Services (AWS) Agentic AI science team builds AI solutions to reimagine the experience of all software builders. From the IDE and CLI to web-based tools and services we build AI applications to help software builders. We explore new technologies and find creative solutions. Curiosity and an explorative mindset can find a place here to impact the life of engineers around the world.
If you are excited about this space and want to enlighten your peers with new capabilities this is the team for you.
- 3 years of building machine learning models for business application experience
- PhD or Masters degree and 6 years of applied research experience
- Experience programming in Java C Python or related language
- Experience with neural deep learning methods and machine learning
- Experience with modeling tools such as R scikit-learn Spark MLLib MxNet Tensorflow numpy scipy etc.
- Experience with large scale distributed systems such as Hadoop Spark etc.
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 for more information. If the country/region youre applying in isnt 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 $150400/year in our lowest geographic market up to $260000/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
As an Applied Scientist you are recognized for your expertise advise team members on a range of machine learning topics and work closely with software engineers to drive the delivery of end-to-end modeling solutions. Your work focuses on ambiguous problem areas where the business problem or opportunity may not yet be defined. The problems that you take on require scientific breakthroughs.
You take a long-term view of the business objectives product roadmaps technologies and how they should evolve. You drive mindful discussions with customers engineers and scientist peers. You bring perspective and provide context for current technology choices and make recommendations on the right modeling and component design approach to achieve the desired customer experience and business outcome.
Key job responsibilities
Understand the challenges that developers face when building software today and develop generalizable solutions. Collaborate with developers and pave the way towards bringing your solution into production systems. Lead cross team projects and ensure technical blockers are resolved. Communicate and document your research via publishing papers in external scientific venues.
About the team
The Amazon Web Services (AWS) Agentic AI science team builds AI solutions to reimagine the experience of all software builders. From the IDE and CLI to web-based tools and services we build AI applications to help software builders. We explore new technologies and find creative solutions. Curiosity and an explorative mindset can find a place here to impact the life of engineers around the world.
If you are excited about this space and want to enlighten your peers with new capabilities this is the team for you.
- 3 years of building machine learning models for business application experience
- PhD or Masters degree and 6 years of applied research experience
- Experience programming in Java C Python or related language
- Experience with neural deep learning methods and machine learning
- Experience with modeling tools such as R scikit-learn Spark MLLib MxNet Tensorflow numpy scipy etc.
- Experience with large scale distributed systems such as Hadoop Spark etc.
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 for more information. If the country/region youre applying in isnt 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 $150400/year in our lowest geographic market up to $260000/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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