Associate Director AI & GenAI Engineering

Novartis is hiring an Associate Director AI & GenAI Engineering in Hyderabad, India. Level rates it ; you can apply on Level.

AI in this role

ragai-safety

Job Description Summary

Internal Job Title: Associate Director DDIT AI & GenAI Engineering
#LI-Hybrid
Location: Hyderabad, India
Relocation Support: Yes

Are you passionate about shaping the future of Artificial Intelligence at global scale? Join Novartis and play a pivotal role in transforming how innovative medicines are discovered, developed, and delivered. As Associate Director AI & GenAI Engineering, you will lead the design, engineering, and delivery of cutting-edge Generative Artificial Intelligence and agentic AI solutions that drive meaningful business outcomes and improve patient lives. Working at the intersection of advanced technology, enterprise platforms, and scientific innovation, you will help turn bold ideas into production-ready solutions while influencing the future of AI across Novartis.

Job Description

Key Responsibilities

Lead end-to-end delivery of enterprise AI and GenAI solutions from concept through production.
Define scalable AI architectures, platform capabilities, engineering standards, and technology roadmaps.
Partner with business stakeholders to transform workflows into intelligent, AI-enabled experiences.
Drive rapid prototyping and minimum viable product development for high-value business opportunities.
Provide technical leadership across generative artificial intelligence, agentic AI, machine learning, and semantic search.
Design and optimize AI platforms, retrieval-augmented generation pipelines, APIs, and cloud-native applications.
Establish engineering best practices for automation, observability, continuous integration, and continuous delivery.
Ensure solutions meet security, privacy, regulatory, reliability, performance, and responsible AI standards.
Manage delivery plans, dependencies, risks, budgets, and stakeholder communications across initiatives.
Mentor engineering teams and foster a culture of innovation, technical excellence, and continuous learning.

Essential Requirements

Bachelor’s degree in Computer Science, Artificial Intelligence, Engineering, or a related field.
12+ years of experience in software engineering, artificial intelligence, machine learning, or digital technology.
Proven experience leading artificial intelligence engineering teams and complex enterprise delivery programs.
Strong expertise in generative artificial intelligence, large language models, retrieval-augmented generation, and agentic AI.
Hands-on experience developing Python applications, application programming interfaces, microservices, and cloud-native solutions.
Experience with Amazon Web Services or Microsoft Azure artificial intelligence services and enterprise data platforms.
Strong knowledge of machine learning operations, large language model operations, DevSecOps, continuous integration, and continuous delivery.
Demonstrated ability to manage senior stakeholders, delivery risks, vendors, budgets, and cross-functional teams.

Desirable Requirements

Master’s degree in Computer Science, Artificial Intelligence, Engineering, or a related field.
Professional certifications in cloud, artificial intelligence, machine learning, or software engineering technologies.

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, Business Value Creation, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Python (Programming Language), Stakeholder Engagement, Statistical Analysis, Time Series Analysis

How we rate this

Associate Director AI & GenAI Engineering at Novartis rates 83 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

Associate Director AI & GenAI Engineering 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 7, 2026.
Seniority: executive.
Applications are handled by Novartis. Apply on Novartis

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

RAGAI Safety

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
How do you think about the risk of an AI system in this kind of role failing silently?
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: RAG and AI Safety. 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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