Associate Director, Agentic AI PoC Lead

Novartis

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$176,400–$327,600 / yr
Posted
21 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $213k
This role $252k
$149k most similar roles pay here $347k

This role pays more than 75% of similar roles. Most pay $171,125–$254,062 — the shaded band above. At the midpoint, this role pays about $252k versus about $213k for comparable roles.

Based on 238 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 · Associate Director, Agentic AI PoC Lead

Associate Director, Agentic AI PoC Lead reports to the Executive Director, AI Architecture & Lab Lead. This role is responsible for leading the rapid design, development, and technical validation of proof-of-concepts that demonstrate the value of agentic AI across the enterprise. The successful candidate will partner with business, product, architecture, and engineering teams to transform emerging capabilities into validated solutions ready for industrialization. Day-to-day responsibilities include identifying opportunities for autonomous agents, establishing evaluation criteria, mentoring engineers, and assessing new technologies for the roadmap. Required technical skills include experience with LLMs, multi-agent frameworks, RAG, vector databases, Python, APIs, and cloud platforms. The role focuses on solving the challenge of transitioning experimental AI prototypes into production roadmaps within complex environments, potentially involving pharmaceutical or healthcare domains where highly regulated industry standards apply to the development of enterprise AI platforms.

What you'll do

  • Lead the delivery of high-impact agentic AI proof-of-concepts from initial ideation through technical validation.
  • Identify business opportunities where autonomous AI agents can create measurable value for the enterprise.
  • Design and implement prototype solutions using LLMs, multi-agent frameworks, RAG, and orchestration platforms.
  • Transition successful proof-of-concepts into production roadmaps in coordination with product and engineering teams.
  • Establish repeatable methodologies, evaluation criteria, and technical documentation for AI experimentation.
  • Assess emerging AI technologies to recommend new capabilities for the enterprise AI roadmap.
  • Mentor AI engineers and foster a culture of rapid learning and innovation.

What we're looking for

  • Bachelor's or advanced degree in Computer Science, Artificial Intelligence, Engineering, Data Science, or a related discipline.
  • 5+ years of experience building AI, machine learning, or software engineering solutions, including hands-on development of generative AI applications.
  • Experience with LLMs, agent frameworks, RAG, vector databases, Python, APIs, cloud platforms, and AI orchestration technologies.
  • Strong prototyping and software engineering skills to rapidly build and validate new concepts.
  • Excellent communication and stakeholder management skills to translate technical innovation into business value.
  • Experience developing enterprise AI platforms or agentic AI solutions in large organizations (preferred).
  • Experience in pharmaceutical, healthcare, or other highly regulated industries (preferred).

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