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 Engineer, AI to join our Forward Deployment Engineering team and help 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 stakeholders, engineering teams, and data partners to develop 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
• Develop AI-powered applications using Large Language Models (LLMs), agentic AI workflows, retrieval-augmented generation (RAG), and enterprise data platforms.
• Build intelligent workflows, AI agents, and conversational experiences that improve operational efficiency, productivity, and business decision-making.
• Collaborate with business stakeholders to understand challenges and translate requirements into scalable AI solutions that deliver measurable value.
• Design, develop, and maintain data pipelines, integrations, and knowledge retrieval frameworks that enable AI applications to securely access governed enterprise data.
• Build and implement 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, reliable, secure, and aligned with enterprise architecture standards.
• Participate in the complete AI solution lifecycle, including assessment, planning, design, development, testing, deployment, and continuous improvement.
• Contribute to technical documentation, design reviews, peer reviews, and AI governance processes to ensure solution quality and compliance.
• Support responsible AI practices by implementing data privacy controls, governance standards, risk mitigation approaches, and regulatory requirements.
• Stay ahead of with advancements in generative AI, foundation models, agent architectures, and emerging technologies to help drive innovation across the organization.
• Foster a culture of collaboration, continuous learning, innovation, and engineering excellence across global teams.
This role requires
• Bachelor's, Master's, or equivalent experience in Computer Science, Artificial Intelligence, Data Science, Information Technology, Engineering, or a related field.
• 3-5 years of hands-on experience building software, data, analytics, or AI-driven applications.
• Experience developing AI applications using Large Language Models (LLMs), agent workflows, retrieval-augmented generation (RAG), prompt engineering, and enterprise system integrations.
• Strong proficiency in Python, SQL, APIs, and modern software engineering practices for developing scalable AI solutions.
• Experience with enterprise data platforms such as Databricks, Snowflake, or similar cloud-based analytics environments.
• Hands-on experience building data pipelines, integrations, and data processing solutions that support AI workloads.
• Familiarity with AI evaluation methodologies, testing frameworks, observability
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