Level

NovartisPosted 1mo ago

Director, Agentic Lab

Director, Agentic Lab at Novartis scores 90 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.

Remote (Remote Position (USA))executiveFull time$195k-$361k

AI in this role

prompt-engineeringragai-agents

Job Description Summary

#LI - Remote

Reporting to the Executive Director, Agentic Architecture & Lab, the Director, Agentic Lab leads the design, prototyping, and validation of next-generation AI agents and autonomous workflows. The role evaluates emerging AI technologies, develops reusable reference implementations, and partners with engineering teams to transition successful innovations into enterprise-scale capabilities.

This position can be based remotely anywhere in the U.S. (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result. The expectation of working hours and travel (domestic and/or international) will be defined by the hiring manager. This position will require 10% travel.


 

Job Description

Major Accountabilities   

  • Lead rapid prototyping and technical validation of agentic AI solutions and autonomous workflows. 
  • Evaluate foundation models, agent frameworks, orchestration technologies, and developer tooling. 
  • Develop reusable proof-of-concepts, accelerators, and reference implementations for the Agentic Factory. 
  • Partner with AI Engineering, Platform Engineering, Product, and Architecture teams to productionize successful prototypes. 
  • Define best practices for prompt engineering, reasoning strategies, memory architectures, evaluation, and observability. 
  • Contribute to enterprise standards, documentation, and reusable engineering patterns for AI agents. 
  • Mentor AI engineers and cultivate a culture of experimentation, innovation, and continuous learning. 

 Essential Requirements: 

  • Education:  Bachelor's or advanced degree in Computer Science, Artificial Intelligence, Engineering, or a related technical discipline. 
  • 7+ years of experience building AI, machine learning, or software engineering solutions, including technical leadership experience. 
  • Hands-on expertise with LLMs, agent frameworks, RAG, vector databases, APIs, Python, and cloud-native development. 
  • Strong software engineering background with experience building production-grade AI applications. 
  • Excellent communication and collaboration skills with the ability to work across research, engineering, and business teams.  

Desirable Requirements: 

  • Experience in pharmaceutical, healthcare, or other regulated industries. 
  • Experience building enterprise agentic AI platforms and developer ecosystems. 

Novartis Compensation Summary: 

The salary for this position is expected to range between $194,600 and $361,400 per year. 

 The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. 

 Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. 

 US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves. 


 

EEO Statement:

The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. 


 

Accessibility and reasonable accommodations

The Novartis Group of Companies are 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 application process, or to perform the essential functions of a position, please send an e-mail to us.reasonableaccommodations@novartis.com or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.


 

Salary Range

$194,600.00 - $361,400.00


 

Skills Desired

Artificial Intelligence (AI), Business Value Creation, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Mentorship, Stakeholder Engagement, Statistical Analysis, Time Series Analysis

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

Prompt EngineeringRagAI Agents

Questions you could be asked

  1. How do you structure and test a prompt to get consistent output from a language model?
  2. How would you design a retrieval step so the model answers from real data instead of guessing?
  3. How do you decide when an AI agent can act on its own versus asking for approval first?
  4. How would you decide a model or AI system is ready to ship?
  5. 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: Prompt Engineering, Rag, and AI Agents. 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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