Associate Director AI & GenAI Engineering
About this opportunity
Internal Job Title: Associate Director DDIT AI & GenAI Engineering#LI-HybridLocation: Hyderabad, IndiaRelocation Support: YesAre 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.
Key ResponsibilitiesLead 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 RequirementsBachelor’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 RequirementsMaster’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 accommodationNovartis 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
Job details
How this role compares
Computed from every other active Data & Digital role in our database, not just this employer's listings.
We currently track 353 comparable Associate Director Data & Digital roles across 57 biopharma companies.
Salary context
135 of 353 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 353 comparable roles
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Seniority mix
353 of 353 peers have a known seniority level
Therapeutic area mix
17 of 353 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
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How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.