Applied Scientist II, Amazon Business - External Integrations

Amazon Inc.; Hyderabad; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Amazon Business System Integrations is seeking an Applied Scientist to advance ML and GenAI capabilities for business integrations in Hyderabad. You will own models and protocols that improve accuracy, speed, and reliability across partner systems and APIs.

You will collaborate across technical and product teams to deploy scalable ML pipelines, while mentoring others and advancing research agendas in agentic shopping and data mapping for procurement workflows.

Qualifications

• 3+ years building models for business applications.
• Patents or publications in top-tier venues.
• Programming experience in Java, C++, Python or related language.
• Knowledge in algorithms, data structures, numerical optimization, data mining.
• Master's degree or PhD required.

Responsibilities

• Invent: design novel ML/GenAI methods for agentic shopping and data mapping.
• Implement: integrate ML components into production systems with low latency.
• Influence: contribute to planning, mentor teammates, and collaborate across teams.

Skills

Model development

Publications/Patents

Programming in Java/C++/Python

Algorithms & data structures

Business ML experience

Education

Master's degree or PhD

Tools

Unix/Linux

Job description

Description

Amazon Business System Integrations connects Amazon Business with millions of business users and thousands of partner procurement, ERP, and finance systems. We build the APIs, protocols, and agentic experiences that let customers buy on Amazon Business directly from the systems they already use. As an Applied Scientist on this team, you will own and advance the ML and GenAI capabilities that make these integrations smarter, faster, and more reliable. You will drive model accuracy, scientific innovation, and global scale across external systems integrations.

Our work includes API-based and protocol-based shopping, such as punchout and emerging agent protocols, along with agentic interactions where buyers and AI agents search, compare, and purchase through natural language. It also covers partner onboarding and integration automation, mapping and normalizing catalog, product, and order data across many partner formats, and evaluation frameworks that measure the quality, accuracy, and latency of our agents.

Key job responsibilities

As an Applied Scientist on this team, you will work across three dimensions: Invent, Implement, and Influence.

Invent: You bring deep domain knowledge and fluency with state-of-the-art scientific approaches and emerging research. You practice customer-obsessed science, working backwards from the needs of business buyers, procurement teams and integration partners to extend or invent new ML approaches, even when no textbook solution exists. You design novel ML and LLM-based methods for agentic shopping, product search and matching, schema and data mapping across partner systems, and automated evaluation of agent quality. You help define the research agenda for our agentic and protocol-based capabilities, and you lead the scientific strategy for accurate, low-latency responses in conversational and API-driven procurement. You author or co-author articles for internal or external peer-reviewed venues when appropriate and not precluded by business considerations.

Implement: The ML components you develop are integrated directly into production systems serving Amazon Business customers and partners worldwide. You make sound tradeoffs between accuracy and latency, innovation and stability, and short-term and long-term solutions, favoring reuse and established frameworks where appropriate. You make progress semi-autonomously with only occasional guidance, implement at the right level of complexity the first time, and evaluate emerging technologies, including LLMs and GenAI frameworks, largely on your own. You ensure your models and pipelines integrate robustly with catalog, offer, cart, order and partner data sources and with the services that power external integrations.

Influence: You contribute to planning for the team, including goals, priorities and roadmaps for ML and GenAI capabilities. You lead the scientific strategy for expanding agentic and integration capabilities across new partners, protocols and countries. You collaborate with engineering, product and program teams across Amazon business so that data integration and ML pipelines are robust and scale with adoption. You mentor scientists and engineers, champion best practices for the AI-Driven Development Life Cycle (AIDLC), and provide peer feedback on research methods and results. You help recruit bar-raising talent through interview drives, and you are visible in the broader scientific community as a subject matter expert, including serving as a Program Committee member or reviewer for peer-reviewed venues.

Basic Qualifications

• 3+ years of building models for business application experience
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
• Master's degree, or PhD

Preferred Qualifications

• Experience using Unix/Linux
• Experience in professional software development

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.

Company

- ADCI HYD 13 SEZ

Job ID: A10588430