Amazon Web Services (AWS) · 4 days ago
Professional Services II - AMZ19475.5
United States
Full-time
Remote
Mid Level
$157K/yr - $178K/yr
1+ years expAmazon Web Services (AWS) provides cloud computing and technology services to organizations worldwide. The Professional Services II role focuses on researching, designing, developing, and deploying scalable generative AI and machine learning solutions for customer business problems. The position also involves customer discovery, implementation guidance, technical content creation, and analysis of historical data to optimize business processes.
Artificial Intelligence (AI)Cloud ComputingBig DataEnterprise SoftwareAerospaceAI InfrastructureCloud Data ServicesCloud InfrastructureCloud StorageData StorageMachine LearningSatellite Communication
Responsibilities
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
Qualification
Required
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):
Programming languages including SQL or Python
AWS stack and services and best architecture design practices
Refining, optimizing, and deploying AI/ML models, pipeline, and full solutions in production software applications
Translating technical aspects of analysis and metrics into actionable insights
Machine Learning and generative AI concepts and application strategies
Statistical techniques and methodologies including hypothesis testing, and A/B Testing
Benefits
100% telecommuting permitted; work may be performed from anywhere in the U.S.
Company
Amazon Web Services (AWS)
Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing.
10001+ employees
H1B Sponsorship
Amazon Web Services (AWS) has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
73%
Represents job field similar to this job
Engineering and Development
Management and Executive
Product Management
Customer Service and Support
Accounting and Finance
Sales
Creatives and Design
Marketing
Human Resources
Legal and Compliance
Education and Training
Public Sector and Government
Arts and Entertainment
Trends of Total Sponsorships
*2026 (7552)
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
BIRD Foundation
2025-01-22Grant
Leadership Team
Matt Garman
Chief Executive Officer
Anand Desikan
CTO-in-Residence (Enterprise Technologist) & Executive CxO Sponsor
Recent News
2026-08-15
The Motley Fool
2026-08-15
Company data provided by crunchbase