Director, Agentic Lab

Novartis

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$194,600–$361,400 / yr
Employment
Full-time
Posted
67 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $239k
This role $278k
$163k $383k
below market most similar roles pay here above market

This role pays more than 74% of similar roles. Most pay $196,750–$281,262 — the blue band above. At the midpoint, this role pays about $278k versus about $239k 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 17 open roles on FindRole.

Listed pay typically runs $176,400–$327,600 across 17 roles with salary data.

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View all roles at Novartis

At a glance

TL;DR · Director, Agentic Lab

Director, Agentic Lab leads the design, prototyping, and validation of next-generation AI agents and autonomous workflows within the Agentic Architecture & Lab team. The role involves evaluating foundation models, agent frameworks, and orchestration technologies to develop reusable proof-of-concepts, accelerators, and reference implementations for the Agentic Factory. Key responsibilities include partnering with engineering and product teams to productionize successful prototypes while defining best practices for prompt engineering, reasoning strategies, memory architectures, evaluation, and observability. The position requires hands-on expertise with LLMs, RAG, vector databases, APIs, Python, and cloud-native development. Candidates must possess a strong software engineering background to build production-grade AI applications. This role specifically addresses the technical challenge of creating enterprise-scale agentic AI platforms and developer ecosystems within regulated industries like pharmaceutical or healthcare.

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, evaluation, and observability.
  • Contribute to 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.
  • 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 to work 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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