Responsibilities
- Develop AI-powered applications using LLMs, agentic workflows, enterprise knowledge retrieval, and governed data platforms.
- Build AI agents, copilots, and workflow solutions that improve business productivity and decision-making.
- Translate business stakeholder needs into scalable, measurable AI solutions.
- Manage the full AI solution lifecycle from assessment and design through development, testing, deployment, and improvement.
- Build data pipelines, integrations, and enterprise system connections for secure access to governed business data.
- Design evaluation frameworks for model performance, response quality, grounding accuracy, and business effectiveness.
- Partner with engineering, platform, and data teams on scalable, secure, reliable solutions aligned with enterprise standards.
- Participate in technical design reviews, peer reviews, documentation, and AI governance processes.
- Implement data privacy controls, governance frameworks, risk mitigation practices, and compliance requirements.
- Stay current with generative AI, foundation models, agent architectures, and emerging technologies.
Requirements
- Bachelor’s, master’s, or doctoral degree or equivalent experience in computer science, artificial intelligence, data science, information technology, engineering, or a related field.
- At least 4 years of hands-on experience building software, data, analytics, or AI-driven applications.
- Experience developing AI applications with LLMs, agent workflows, RAG, prompt engineering, and enterprise system integrations.
- Strong proficiency in Python, SQL, APIs, and modern software engineering practices.
- Experience with cloud data and analytics platforms such as Databricks, Snowflake, or similar enterprise environments.
- Hands-on experience building and managing data pipelines, integrations, and data processing solutions.
- Familiarity with AI evaluation methodologies, testing frameworks, monitoring, observability, and quality measurement.
- Knowledge of metadata management, data lineage, data quality, cataloging, and access control.
- Understanding of responsible AI, privacy regulations, governance requirements, and risk management frameworks.
- Ability to collaborate with business users, explain technical concepts, and deliver practical solutions aligned with business goals.
- Experience in pharmaceutical, biotechnology, healthcare, or another regulated industry is preferred.
- Strong analytical, problem-solving, communication, and stakeholder management skills.
Benefits
- The role is based in Hyderabad, India, with a hybrid work arrangement.
- Regeneron offers a competitive total rewards package that may include bonuses or incentives, equity awards, pension or retirement benefits, health and wellness programs, insurance, paid time off, and family support benefits, depending on country and role.
- Reasonable accommodation is available during recruitment where required by applicable law.
Categories
About Regeneron
At Regeneron we believe that when the right idea finds the right team, powerful change is possible. As we work across our expanding global network to invent, develop and commercialize life-transforming medicines for people with serious diseases, we’re establishing new ways to think about science, manufacturing and commercialization. And new ways to think about health. Connect with us so we can learn more about you, and you can learn more about our biopharmaceutical medicines. And join us, as we build a future we believe in. Please visit www.regeneron.com/social-media-terms for information on how to engage with us on social media. An important note about privacy: Regeneron is committed to your privacy and will not ask for sensitive personal information such as social security number, date of birth or bank account details via email or social media.