Director, Agentic Lab

Novartis
$194,600 - $361,400Remote

About The Position

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). The expectation of working hours and travel (domestic and/or international) will be defined by the hiring manager. This position will require 10% travel.

Requirements

  • 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.

Nice To Haves

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

Responsibilities

  • 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.

Benefits

  • health
  • life and disability benefits
  • a 401(k) with company contribution and match
  • a variety of other benefits
  • a generous time off package including vacation, personal days, holidays and other leaves
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