Responsibilities
- Design, develop, and deploy AI-powered applications using LLMs, agentic AI frameworks, RAG, and enterprise data platforms.
- Build AI agents, intelligent workflows, and conversational experiences for business functions.
- Translate stakeholder challenges into scalable AI solutions with measurable business value.
- Design data pipelines, integrations, and knowledge retrieval frameworks for governed enterprise data access.
- Develop evaluation frameworks for model performance, response quality, grounding accuracy, and business effectiveness.
- Partner with engineering, data, and platform teams to deliver scalable, secure, reliable solutions aligned with enterprise architecture.
- Contribute across discovery, planning, architecture, development, testing, deployment, and continuous improvement.
- Participate in technical reviews, peer reviews, AI governance, and responsible AI practices.
- Implement privacy controls, model governance, risk mitigation, and regulatory compliance measures.
Requirements
- Bachelor’s or master’s degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, Engineering, or a related field.
- At least 5 years of experience developing software, data, analytics, or AI-driven applications in enterprise environments.
- Hands-on experience with LLMs, AI agents, RAG, prompt engineering, and enterprise integrations.
- Proficiency in Python, SQL, and APIs for scalable AI solution development.
- Experience with enterprise data platforms such as Databricks or Snowflake, or equivalent cloud-based analytics environments.
- Experience designing data pipelines, data integrations, and data processing solutions for AI workloads.
- Knowledge of AI model evaluation, testing frameworks, observability, and quality measurement.
- Understanding of data governance, metadata management, data lineage, data quality, and access control.
- Familiarity with responsible AI, model governance, regulatory compliance, privacy standards, and risk management.
- Experience with AWS, Azure, or GCP and enterprise AI integrations.
- Strong analytical, problem-solving, communication, and stakeholder management skills.
- Experience in pharmaceutical, biotechnology, healthcare, or other regulated industries is preferred.
- Ability to collaborate across global teams in a fast-paced technology environment.
Benefits
- Hybrid work arrangement in Hyderabad.
- Competitive and comprehensive total rewards package, which may include bonuses or incentive plans, equity awards, pension or retirement benefits, 401(k) matching, health and wellness programs, fitness centers, insurance benefits, paid time off, and family support benefits.
- Reasonable accommodation is available during recruitment where required.
- The role may have on-site expectations depending on the location and position.
Tech Stack
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.