Highlights
Leverage GenAI models and frameworks(e.g., Llama, Hugging Face Transformers, Lang Chain) to design retrieval-augmented generation (RAG) applications, text-to-SQL solutions, and domain-specific fine-tuning. Multiple Positions Available: Implement end-to-end AI/ML and GenAI projects, including scoping business problems, preparing and cleaning data, developing models, and deploying them into production with monitoring and retraining processes.
Numbers & Facts
| Location | New York, NY |
| Industry | Retail |
| Salary | $144,500–$195,400 Per Year |
| Company Size | 10,000 employees or more |
| Year Founded | 1994 |
| Website | http://Amazon.com/militaryroles |
Description
Employer: Amazon Web Services, Inc.
Position: Professional Services II - AMZ27134.3
Location: New York, NY
Multiple Positions Available:
Implement end-to-end AI/ML and GenAI projects, including scoping business problems, preparing and cleaning data, developing models, and deploying them into production with monitoring and retraining processes. Build and manage machine learning pipelines using AWS services(e.g., SageMaker, Step Functions, Lambda, CloudWatch) to ensure scalable, reliable, and secure ML workloads. Apply MLops practices(CI/CD for ML models, automated testing, containerization with Docker/ECR, and model registry/versioning) to streamline deployment and governance of AI/ML solutions. Leverage GenAI models and frameworks(e.g., Llama, Hugging Face Transformers, Lang Chain) to design retrieval-augmented generation (RAG) applications, text-to-SQL solutions, and domain-specific fine-tuning. Collaborate daily with cross-functional teams-including Applied Scientists, Data Engineers, DevOps, and Cloud Infrastructure engineers-to prepare datasets, optimize model performance, and integrate solutions into enterprise systems. Assist customers, review their use cases, recommending AI/ML architectures, and guiding adoption of cloud-native and GenAI best practices. Share knowledge across the organization by conducting internal training sessions, publishing technical artifacts, and mentoring junior engineers, contributing to a growing repository of reusable AI/ML assets.
10% of work time may be spent in domestic travel to perform the job duties.
(40 hours / week, 8:00am-5:00pm, Salary Range $144500 - $195400)
Amazon.com is an Equal Opportunity - Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
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About Company
At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles