Jobs / India / Regeneron Pharmaceuticals INC

Regeneron Pharmaceuticals INC

Sr AI Engineer

Hyderabad Posted today

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No sponsorship evidence yet

No government record and no wording either way. Not a refusal: ask the recruiter.

  • No government sponsor record hereNo government sponsor record covers this employer in this country.
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  • Confirmed live todayWhen a source last listed this job as open.
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Before you apply

Sponsorship unknown

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About the role

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 make data-driven decisions. We are seeking a Senior AI Engineer, to join our Forward Deployment Engineering team and build innovative AI-powered applications using Large Language Models (LLMs), agentic AI, enterprise data platforms, and cloud technologies. This role will collaborate closely with business collaborators, data teams, and engineering partners to deliver secure, scalable, and production-ready AI solutions that drive measurable business outcomes while operating within a governed and regulated environment. When & Where Hyderabad (Hybrid) Discover your role • Design, develop, and deploy AI-powered applications using Large Language Models (LLMs), agentic AI frameworks, retrieval-augmented generation (RAG), and enterprise data platforms. • Build intelligent workflows, AI agents, and conversational experiences that improve operational efficiency, productivity, and decision-making across business functions. • Collaborate with business stakeholders to understand complex challenges and translate requirements into scalable AI solutions that deliver measurable value. • Design and implement data pipelines, integrations, and knowledge retrieval frameworks that enable AI applications to securely access governed enterprise data. • Develop robust evaluation frameworks to assess AI model performance, response quality, grounding accuracy, and business effectiveness. • Partner with engineering, data, and platform teams to ensure AI solutions are scalable, secure, reliable, and aligned with enterprise architecture standards. • Contribute across the full AI solution lifecycle including discovery, planning, architecture, development, testing, deployment, and continuous improvement. • Participate in technical design reviews, peer reviews, and AI governance processes to ensure solution quality and compliance. • Support responsible AI practices by implementing data privacy controls, model governance standards, risk mitigation approaches, and regulatory requirements. • Stay ahead of with advancements in generative AI, foundation models, agent architectures, and emerging AI technologies to drive innovation across the organization. • Promote a culture of collaboration, continuous learning, innovation, and engineering excellence across global teams. This role requires • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, Engineering, or a related field. • 5+ years of experience developing software, data, analytics, or AI-driven applications in enterprise environments. • Strong hands-on experience building AI applications using Large Language Models (LLMs), AI agents, retrieval-augmented generation (RAG), prompt engineering, and enterprise integrations. • Proficiency in Python, SQL, APIs, and modern software engineering practices for developing scalable AI solutions. • Experience working with enterprise data platforms such as Databricks, Snowflake, or equivalent cloud-based analytics environments. • Hands-on experience designing and implementing data pipelines, data integrations, and data processing solutions that support AI workloads. • Knowledge of AI model evalua

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