Professional Services III - AMZ13521.11

Amazon is hiring a Professional Services III - AMZ13521.11 for a remote role open to applicants in United States. It pays $154k-$208k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting lists this role as remote.
Tools and skills the posting cites include Athena, Glue and Lambda.
Level classifies it as a senior role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Develop and implement AI, IoT, and data analytics solutions for AWS customers as a Professional Services consultant.

AthenaGlueLambdaS3DynamoDBEmrRedshift

machine-learningiotdata-analyticscloud-computing

Employer: Amazon Web Services, Inc.
Position: Professional Services III - AMZ13521.11
Location: Seattle, WA

Multiple Positions Available:

1. Develop, deliver and implement AI, IOT, and data analytics
projects that help customers leverage their data to develop
business insights.
2. Focus on customer solutions such as machine learning, IoT,
batch/real-time data processing, data and business intelligence.
3. Collaborate with AWS field sales, pre-sales, training and support
teams to help partners and customers learn and use AWS
services such as Athena, Glue, Lambda, S3, DynamoDB,
NoSQL, Relational Database Service (RDS), Amazon EMR and
Amazon Redshift.
4. Deliver on-site technical engagements with partners and
customers. This includes participating in pre-sales on-site visits,
understanding customer requirements, creating packaged Data
& Analytics service offerings.
5. Engage in short on-site projects proving the use of AWS services
to support new distributed computing solutions that often span
private cloud and public cloud services. Engagements include
migration of existing applications and development of new
applications using AWS cloud services.
6. Work with AWS engineering and support teams to convey
partner and customer needs and feedback as input to technology
roadmaps.
7. Share real world implementations and recommend new
capabilities that would simplify adoption and drive greater value
from use of AWS cloud services.
8. Engaging with the customer’s business and technology
stakeholders to create a compelling vision of a data-driven
enterprise in their environment.
9. 100% telecommuting permitted, work may be performed from
anywhere in the U.S.

(40 hours / week, 8:00am-5:00pm, Salary Range $153600 - $207800)

Amazon.com is an Equal Opportunity – Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

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Basic qualifications

Master’s degree or foreign equivalent, in Computer Science, Engineering, Information Technology, Mathematics or a related field, followed by 3 years of experience in IT platform implementation or a related occupation. Alternatively, employer will accept a Bachelor’s degree, or foreign equivalent, in Computer Science, Engineering, Information Technology, Mathematics, or a related field, followed by 5 progressively responsible years of experience in IT platform implementation or a related occupation.
Experience must include:
1. 3 years of experience in Data Lake/Hadoop platform implementation.
2. 3 years of hands-on experience in implementation and performance tuning Hadoop/Spark implementations.
3. 3 years of experience with one or more of the following tools: Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, HCatalog, Solr, or Avro.
4. 3 years of experience with one or more SQL-on-Hadoop technology: Hive, Impala, Spark SQL, or Presto.
5. 3 years of experience developing software code in programming languages including Java or Python.

The pay range for this position in Seattle, WA is $153600 - $207800 (yr); however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided by Washington Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.

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Preferred qualifications

All applicants must meet all the above listed requirements.

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.

How we rate this

Professional Services III - AMZ13521.11 at Amazon rates 60 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.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ 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.

Key facts

Professional Services III - AMZ13521.11 is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $154k-$208k a year.
The role is based in US, WA, Seattle and is marked remote.
The job was posted on September 1, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Machine learningIotData AnalyticsCloud ComputingAthenaGlueLambdaS3

Questions you could be asked

Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where iot was part of your work. What did you do?
Tell me about a project where data analytics was part of your work. What did you do?
Tell me about a project where cloud computing was part of your work. What did you do?
Walk me through how you've used Athena in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Machine learning, Iot, Data Analytics, Cloud Computing, and Athena. 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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