Senior Expert (Rapid Prototyping)

Novartis is hiring a Senior Expert (Rapid Prototyping) in Hyderabad, India. Level rates it ; you can apply on Level.

Level's read on this job

Builds AI ●●●● is how Level rates this role: the job is building AI systems.
The posting mentions LangChain, LangGraph and prompt engineering among its tools and skills.
Level classes it as a senior role.
Novartis has 864 other open roles on Level.
This posting went up in the last few days.

AI in this role

langchainlanggraph

prompt-engineeringragnlp

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

How we rate this

Senior Expert (Rapid Prototyping) at Novartis rates 96 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Senior Expert (Rapid Prototyping) is an open job at Novartis.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Hyderabad (Office).
The job was posted on October 19, 2026.
Seniority: senior.
Applications are handled by Novartis. Apply on Novartis

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringRAGNLPLangChainLangGraph

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
How would you design a retrieval step so the model answers from real data instead of guessing?
What NLP problem have you worked on, and how did you measure whether it actually worked?
What's a project where you used LangChain hands-on?
Walk me through how you've used LangGraph in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Prompt engineering, RAG, NLP, LangChain, and LangGraph. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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