Senior Expert (Rapid Prototyping)

Job Description Summary
Job Title: Senior Expert (Rapid Prototyping)
#LI-Hybrid
Location: Hyderabad, India
Relocation Support: Yes
No of positions:2
Join us at the forefront of scientific innovation, where cutting-edge artificial intelligence meets life-saving research. As a Senior Expert in Rapid Prototyping, you will play a pivotal role in transforming how drug discovery is accelerated by designing and deploying advanced generative artificial intelligence and agentic systems. Working at the intersection of science and technology, you will rapidly translate emerging artificial intelligence capabilities into impactful, real-world solutions that empower researchers, enhance decision-making, and ultimately help bring transformative therapies to patients faster.
Job Description
Key Responsibilities
Design and deploy generative artificial intelligence solutions supporting drug discovery and biomedical research workflows
Build rapid prototypes and scalable applications combining foundation models, retrieval systems, and workflow orchestration
Develop production-ready large language model applications with robust context handling, tool integration, and monitoring
Translate emerging generative artificial intelligence and agentic approaches into practical, reusable solutions
Apply engineering best practices including testing, benchmarking, version control, and lifecycle management
Collaborate with cross-functional teams to deliver impactful artificial intelligence solutions aligned with research priorities
Identify opportunities to enhance scientist productivity using artificial intelligence assistants and workflow automation
Contribute to architecture, scalability, security, and reliability of artificial intelligence-powered systems
Share best practices, reusable components, and technical guidance across teams working on artificial intelligence applications
Evaluate emerging tools, frameworks, and technologies to advance generative artificial intelligence capabilities
Essential Requirements
5+ years of experience building and deploying artificial intelligence or machine learning systems in production
2+ years of hands-on experience designing large language model applications including retrieval augmented generation and tool integration
Strong proficiency in Python and experience developing scalable services, application programming interfaces, and reusable libraries
Experience delivering end-to-end artificial intelligence solutions including prompt design, evaluation, and monitoring
Familiarity with generative artificial intelligence frameworks such as LangChain, LangGraph, or similar ecosystems
Experience applying modern software engineering practices including testing, code reviews, version control, and continuous integration
Understanding of evaluation metrics for generative artificial intelligence systems including quality, reliability, and cost considerations
Awareness of security, governance, and responsible artificial intelligence practices in enterprise environments
Desirable Requirements
Experience in drug discovery, computational biology, or biomedical research environments
Publications, patents, or open-source contributions in artificial intelligence or computational sciences
Commitment to Diversity and Inclusion:
Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.
Accessibility and accommodation
Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to diversityandincl.india@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message
Skills Desired
Artificial Intelligence (AI), Biostatistics, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Logistic Regression Model (Inactive), Machine Learning (ML), Machine Learning Algorithms, Nlp (Neuro-Linguistic Programming) And Genai (Inactive), Pandas (Python) (Inactive), Python (Programming Language), R Programming, Stakeholder Engagement, Statistical Analysis, Structured Query Language (SQL), Time Series Analysis