Jobs
Required skills
SQL
AWS
Tableau
Employer: Amazon Web Services, Inc.
Position: Professional Services II (multiple positions available)
Location: New York, NY
Multiple Positions Available:
(1) Design and implement enterprise-scale Generative AI solutions using Amazon Q and AWS AI/ML services.
(2) Create strategies for optimizing AI application performance, scalability, and cost-effectiveness.
(3) Foster knowledge sharing and develop reusable frameworks for AI application deployment.
(4) Guide cross-functional teams in integrating AI solutions while considering user experience and accessibility.
(5) Ensure security compliance and best practices in AI implementation.
(6) Domestic and international travel up to 20% may be required to perform the responsibilities of this role.
(40 hours / week, 8:00am-5:00pm, Salary Range $158,737/year to $195,400/year)
Amazon.com is an Equal Opportunity – Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
Basic Qualifications
Master's degree or foreign equivalent degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field and one year of experience in the job offered or a related occupation.
Employer will accept a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field and five years of progressive post-baccalaureate experience in the job offered or a related occupation.
Must have one year of experience in the following skill(s):
(1) Design, implementation, or consulting in applications and infrastructures;
(2) SQL, Business Intelligence platforms, or data engineering;
(3) Software development with object-oriented language;
(4) Developing dashboards with a Business Intelligence platform such as Quick Sight, Tableau, PowerBI, Looker, Thoughtspot, Microstrategy, Sisense, Domo, etc.; and
(5) AI/ML implementation or experimentation (e.g., Generative AI, Generative BI, Agentic AI).
The pay range for this position in New York, NY is $158,737/year to $195,400/year; 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 New York, NY Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.
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.
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About Amazon

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
Employees
Seattle
Headquarters
$1.5T
Valuation
Reviews
2.9
10 reviews
Work-life balance
2.8
Compensation
3.7
Culture
2.5
Career
2.3
Management
2.1
35%
Recommend to a friend
Pros
Good pay and compensation
Strong benefits package
Flexible scheduling options
Cons
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
Salary Ranges
4 data points
Junior/L3
L2
L3
L4
L5
L6
M3
M4
M5
M6
Intern
Junior/L3 · Warehouse
1 reports
$30,509
total per year
Base
$23,546
Stock
-
Bonus
-
$30,509
$30,509
Interview experience
10 interviews
Difficulty
3.7
/ 5
Duration
21-35 weeks
Offer rate
20%
Experience
Positive 10%
Neutral 10%
Negative 80%
Interview process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
Common questions
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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