Director, Agentic Lab

Novartis

Confirmed live 2 days ago High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$194,600–$361,400 / yr
Posted
21 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $244k
This role $278k
$167k most similar roles pay here $382k

This role pays more than 71% of similar roles. Most pay $203,737–$285,187 — the shaded band above. At the midpoint, this role pays about $278k versus about $244k for comparable roles.

Based on 240 similar postings.

Employer

About Novartis

Novartis is a global biopharmaceutical company that researches, develops, manufactures, and markets prescription drugs in areas including oncology, immunology, neuroscience, and cardiology. Industry: Biopharmaceuticals

Novartis currently has 26 open roles on FindRole.

Listed pay typically runs $194,600–$361,400 across 26 roles with salary data.

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View all roles at Novartis

At a glance

TL;DR · Director, Agentic Lab

The Director, Agentic Lab reports to the Executive Director, Agentic Architecture & Lab. In this role, you will lead the design, prototyping, and validation of next-generation AI agents and autonomous workflows. You will evaluate foundation models, agent frameworks, orchestration technologies, and developer tooling to create reusable proof-of-concepts and reference implementations for the Agentic Factory. Collaborating with engineering, product, and architecture teams, you will productionize prototypes while defining best practices for prompt engineering, reasoning strategies, memory architectures, evaluation, and observability. You will also mentor engineers and establish enterprise standards for AI agents. Required expertise includes LLMs, agent frameworks, RAG, vector databases, APIs, Python, and cloud-native development. The role focuses on solving the technical challenges of building production-grade AI applications and developing developer ecosystems within regulated industries like pharmaceutical or healthcare sectors.

What you'll do

  • 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 engineering and product teams to productionize successful prototypes into enterprise-scale capabilities.
  • Define best practices for prompt engineering, reasoning strategies, memory architectures, and observability.
  • Establish enterprise standards, documentation, and reusable engineering patterns for AI agents.
  • Mentor AI engineers and cultivate a culture of experimentation and continuous learning.

What we're looking for

  • 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.
  • Experience with technical leadership.
  • Hands-on expertise with LLMs, agent frameworks, RAG, vector databases, APIs, Python, and cloud-native development.
  • Strong software engineering background in building production-grade AI applications.
  • Excellent communication and collaboration skills across research, engineering, and business teams.
  • Experience in pharmaceutical, healthcare, or other regulated industries (preferred).
  • Experience building enterprise agentic AI platforms and developer ecosystems (preferred).

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