Amazon

DESCRIPTION

At OpsTech Solutions (OTS), we are a technology-centric services organization that designs, builds, and sustains the invisible, high-quality network, compute infrastructure, and device scaffolding that empowers and protects Amazon’s global Operations. Our mission is to enable operational excellence through technology, ensuring Amazon’s operations remain agile, scalable, and resilient.

The OTS DataTech team is at the forefront of driving enterprise-wide data strategy and technological innovation across OTS. Our charter spans the development of AI/ML-driven capabilities that fuel automation, optimize efficiency, and unlock new potential across various OTS domains. We are seeking a highly skilled and passionate Applied Scientist with deep expertise in Generative AI (GenAI) to build state-of-the-art AI-driven solutions that enhance customer experience and streamline operations.

As an Applied Scientist at OTS DataTech, you will play a pivotal role in shaping the vision, roadmap, design, research, development, and deployment of AI-powered solutions. You will focus on pioneering novel research in GenAI, designing intelligent, self-service systems that integrate state-of-the-art LLMs, multi-agent systems, and human-AI interaction frameworks. You will contribute to the advancement of responsible AI, addressing challenges in AI safety, robustness, explainability, and alignment as part of building next-generation AI systems for Amazon’s global operations.

This is an opportunity to drive foundational research and deliver applied innovation at scale. You will engage in collaborative exploration across disciplines, publish and present at internal and external forums, and contribute to an evolving ecosystem of intelligent automation that enhances productivity, and customer experience across OTS.

You will also lead the design and implementation of robust, scalable automation systems that integrate seamlessly into Amazon’s complex operational landscape. You will be closely partnering with a cross-functional team of stakeholders including Applied Scientists, Data Scientists, Data Engineers, Software Development Engineers, Product Managers, and Technical Program Managers on a daily basis.

If you are passionate about pushing the boundaries of Generative AI and AI-driven automation, and if you thrive in an environment that values innovation, impact, and technical excellence, this is the right opportunity for you.

Come join OTS DataTech as we continue to innovate and pioneer the AI/ML space within OTS!

Key job responsibilities

• Conduct applied research in LLMs and multi-agent systems, driving innovation from prototyping to production.
• Develop and deploy state-of-the-art Generative AI models to solve complex problems in automation, optimization, and human-AI interaction.
• Design intelligent AI agents capable of autonomous decision-making, task execution, and integration with enterprise systems.
• Apply supervised, unsupervised, and reinforcement learning to improve model performance, personalization, and adaptability.
• Lead experimentation and model evaluation to ensure robustness, safety, and real-world performance.
• Design and implement scalable, reliable AI/ML solutions integrated into Amazon’s operations.
• Integrate AI capabilities seamlessly into OTS platforms, ensuring scalability, reliability, and real-world impact.
• Collaborate cross-functionally with engineering, science, and product teams to ensure seamless integration of AI systems.
• Contribute to Amazon’s and external AI/ML community through knowledge sharing, publications, and technical leadership.

A day in the life

Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.

The benefits that generally apply to regular, full-time employees include:

• Medical, Dental, and Vision Coverage
• Maternity and Parental Leave Options
• Paid Time Off (PTO)
• 401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!

At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

BASIC QUALIFICATIONS

• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• 2+ years of building machine learning models or developing algorithms for business application experience
• Experience programming in Java, C++, Python or related language
• Experience applying theoretical models in an applied environment
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience in professional software development
• Strong background in machine learning, including supervised and unsupervised learning algorithms.
• Experience developing, building and implementing complex software systems, especially involving ML, that have been successfully delivered to customers.
• Knowledge of Generative AI (GenAI) and its applications.

PREFERRED QUALIFICATIONS

• Experience with fine-tuning and deploying Large Language Models (LLMs) for customer facing applications.
• Knowledge of RAG and its applications.
• Experience with AWS technologies.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.