AmazonPosted 3mo ago

Professional Services II - AMZ19475.5

Professional Services II - AMZ19475.5 at Amazon scores 83 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.

US, TX, Dallasmidfull-time$157k-$178k

AI in this role

ragfine-tuning

Employer: Amazon Web Services, Inc.
Position: Professional Services II - AMZ19475.5
Location: Dallas, TX

Multiple Positions Available:

Collaborate with strategists, 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, leveraging internal assets, AWS services and open-source technology.
Deliver a wide range of GenAI solutions including RetrievalAugmented Generation (RAG), Multi-Agent systems, Intelligent
Document Processing, AI chatbots, and model fine-tuning.
Interact with customers directly to understand their business
problems, via diagnostic calls and discovery workshops, and gather
their data, architecture and security requirements for designing
production-ready generative AI solutions.
Aid customers in implementing generative AI solutions, for example
providing guidance/advice on adoption patterns and paths to
production, code snippets, or hands-on development on customerowned resources.
Create and deliver best practice recommendations, tutorials, blog
posts, sample code, and presentations adapted to technical,
business, and executive stakeholder.
Contribute to development of general-purpose assets or products
that can be customized depending on customer needs.
Analyze and extract relevant information from large amounts of
historical data to help automate and optimize key processes, and
provide insight to leadership on areas of opportunity for future
investments.
100% telecommuting permitted; work may be performed from
anywhere in the U.S.
Up to 50% of domestic travel required.

(40 hours / week, 8:00am-5:00pm, Salary Range $156998 - $177600)

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 Data Science, Computer Science, Engineering, Information Systems, Mathematics, or a related field and one year of experience in the job offered or a related occupation. Alternatively, Bachelor’s degree or foreign equivalent degree in Data Science, 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 as equivalent to the master’s degree and one year of experience.
Must have one year of experience in the following skill(s):
(1) Programming languages including SQL or Python.
(2) AWS stack and services and best architecture design practices.
(3) Refining, optimizing, and deploying AI/ML models, pipeline, and full solutions in production software applications.
(4) Translating technical aspects of analysis and metrics into actionable insights.
(5) Machine Learning and generative AI concepts and application strategies.
(6) Statistical techniques and methodologies including hypothesis testing, and A/B Testing.

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.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

RagFine Tuning

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
Walk me through fine-tuning a model: what data did you use, and how did you check the result?
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: Rag and Fine Tuning. 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.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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