Jobs
Benefits & Perks
•Healthcare
•401(k)
•Healthcare
•401k
Required Skills
Python
Machine Learning
Cloud Solutions
Generative AI
Employer: Amazon Web Services, Inc.
Position: Professional Services II AMZ18353.8
Location: Dallas, TX
Multiple Positions Available:
- Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges
- Build robust and scalable Generative AI solutions for customer facing business problems
- Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production
- Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
- Provide customer and market feedback to product and engineering teams to help define product direction
- Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes
- Domestic travel up to 25% to perform role responsibilities may be required
(40 hours / week, 8:00am-5:00pm, Salary Range $131,300/year to $177,600/year)
Amazon.com is an Equal Opportunity – Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
Basic Qualifications
Bachelor’s degree or foreign equivalent degree in Computer Science, Mathematics, or a related technical or scientific field followed by 5 years of progressively responsible post-baccalaureate experience in the job offered or a related occupation. In the alternative, employer will accept a Master’s degree or foreign equivalent degree in Computer Science, Mathematics, or a related technical or scientific field and 2 years of experience in the job offered or a related occupation.
Experience must include:
- 2 years of experience in designing, building, and/or operating cloud solutions in a production environment
- 2 years of experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference)
- 2 years of hands on experience with Python to build, train, and evaluate models
- 2 years of technical client engagement experience
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
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
2 data points
L2
L3
L4
L5
L6
M3
M4
M5
M6
Intern
L2 · Revenue Operations L2
0 reports
$163,421
total / year
Base
$65,368
Stock
$81,711
Bonus
$16,342
$114,395
$212,447
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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