Applied Scientist (GenAI), OTS DataTech AI
Applied Scientist (GenAI), OTS DataTech AI
Posted on :
05-05-2025
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1 Vacancy
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Job Description
At OpsTech Solutions (OTS) we are a technologycentric services organization that designs builds and sustains the invisible highquality network compute infrastructure and device scaffolding that empowers and protects Amazons global Operations. Our mission is to enable operational excellence through technology ensuring Amazons operations remain agile scalable and resilient.
The OTS DataTech team is at the forefront of driving enterprisewide data strategy and technological innovation across OTS. Our charter spans the development of AI/MLdriven 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 stateoftheart AIdriven 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 AIpowered solutions. You will focus on pioneering novel research in GenAI designing intelligent selfservice systems that integrate stateoftheart LLMs multiagent systems and humanAI interaction frameworks. You will contribute to the advancement of responsible AI addressing challenges in AI safety robustness explainability and alignment as part of building nextgeneration AI systems for Amazons 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 Amazons complex operational landscape. You will be closely partnering with a crossfunctional 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 AIdriven 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 multiagent systems driving innovation from prototyping to production.
Develop and deploy stateoftheart Generative AI models to solve complex problems in automation optimization and humanAI interaction.
Design intelligent AI agents capable of autonomous decisionmaking 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 realworld performance.
Design and implement scalable reliable AI/ML solutions integrated into Amazons operations.
Integrate AI capabilities seamlessly into OTS platforms ensuring scalability reliability and realworld impact.
Collaborate crossfunctionally with engineering science and product teams to ensure seamless integration of AI systems.
Contribute to Amazons 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 fulltime 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 wed still love to hear from you!
At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!
PhD or Masters 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 toptier peerreviewed 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.
Experience with finetuning 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 for more information. If the country/region youre applying in isnt 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 $136000/year in our lowest geographic market up to $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
The OTS DataTech team is at the forefront of driving enterprisewide data strategy and technological innovation across OTS. Our charter spans the development of AI/MLdriven 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 stateoftheart AIdriven 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 AIpowered solutions. You will focus on pioneering novel research in GenAI designing intelligent selfservice systems that integrate stateoftheart LLMs multiagent systems and humanAI interaction frameworks. You will contribute to the advancement of responsible AI addressing challenges in AI safety robustness explainability and alignment as part of building nextgeneration AI systems for Amazons 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 Amazons complex operational landscape. You will be closely partnering with a crossfunctional 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 AIdriven 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 multiagent systems driving innovation from prototyping to production.
Develop and deploy stateoftheart Generative AI models to solve complex problems in automation optimization and humanAI interaction.
Design intelligent AI agents capable of autonomous decisionmaking 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 realworld performance.
Design and implement scalable reliable AI/ML solutions integrated into Amazons operations.
Integrate AI capabilities seamlessly into OTS platforms ensuring scalability reliability and realworld impact.
Collaborate crossfunctionally with engineering science and product teams to ensure seamless integration of AI systems.
Contribute to Amazons 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 fulltime 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 wed still love to hear from you!
At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!
PhD or Masters 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 toptier peerreviewed 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.
Experience with finetuning 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 for more information. If the country/region youre applying in isnt 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 $136000/year in our lowest geographic market up to $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Key Skills
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