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Regeneron Pharmaceuticals, Inc.

Sr AI Engineer

Hybrid • Hyderabad, India • Senior • Не указана
Зарплата
Не указана
Опубликовано
13 ч назад
Описание

Build our Future Together

Regeneron is founded on the belief that the right idea, combined with the right team, can lead to significant transformations. Our growing global network is dedicated to inventing, developing, and commercializing medicines that change lives for those with serious diseases. In doing so, we are pioneering innovative approaches to science, manufacturing, and commercialization, as well as redefining our understanding of health.

At Regeneron Digital & Technology, we are accelerating the adoption of Applied AI to transform how business teams access information, automate workflows, and improve decision-making. We are seeking a Senior Engineer, Applied AI to join our Forward Deployment Engineering team and contribute to building innovative AI-powered applications using Large Language Models (LLMs), agentic AI, enterprise data platforms, and cloud technologies. In this hands-on role, you will work closely with business stakeholders and engineering teams to develop secure, scalable, and production-ready AI solutions that deliver measurable business value while operating in a governed and regulated environment.

When & Where

Hyderabad, India (Hybrid)

Discover Your Role

  • Develop AI-powered applications using Large Language Models (LLMs), agentic workflows, enterprise knowledge retrieval, and governed data platforms.
  • Build intelligent AI agents, copilots, and workflow solutions that enhance business productivity, efficiency, and decision-making.
  • Collaborate with business stakeholders to understand challenges and translate requirements into scalable AI solutions that create measurable impact.
  • Participate in the full AI solution lifecycle, including assessment, planning, design, development, testing, deployment, and continuous improvement.
  • Build and maintain data pipelines, integrations, and enterprise system connections that enable AI applications to securely access governed business data.
  • Design and implement evaluation frameworks to assess AI model performance, response quality, grounding accuracy, and business effectiveness.
  • Partner with engineering, platform, and data teams to ensure AI ...

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