Director, AI Foundations Engineering

Novartis

Confirmed live yesterday High trust
Remote

Quick summary

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

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $248k
This role $278k
$172k most similar roles pay here $382k

This role pays more than 72% of similar roles. Most pay $211,200–$285,000 — the shaded band above. At the midpoint, this role pays about $278k versus about $248k 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.

Most-posted roles

View all roles at Novartis

At a glance

TL;DR · Director, AI Foundations Engineering

Director, AI Foundations Engineering will drive the engineering strategy, delivery, and operational excellence for the organization’s agentic AI operating system. This role is responsible for designing and developing foundational systems that transform existing processes into intelligent workflows by providing a scalable, secure, and high-performing foundation. The individual will oversee engineering teams to build reusable platform services, tools, and components while establishing engineering standards, development practices, and governance models. Key responsibilities include managing product roadmaps, coordinating with cross-functional teams like data, infrastructure, and security, and monitoring agentic operations for continuous optimization. Required expertise includes AI engineering, machine learning algorithms, deep learning, and statistical analysis. The role focuses on the technical challenge of creating a robust foundation to enable agentic AI products while ensuring reliable execution through disciplined engineering practices and high-quality data governance in an AI-driven environment.

What you'll do

  • Design and develop the organization's AI foundations using a disciplined engineering approach.
  • Define and implement agentic AI systems, engineering standards, and development practices for scalability.
  • Oversee engineering teams in building reusable platform services, tools, and components for agentic workflows.
  • Drive modernization efforts to integrate existing systems and processes with new AI capabilities.
  • Monitor agentic operations and user feedback to identify improvements and optimize performance.
  • Establish operating models, support processes, and governance practices to ensure consistent delivery of AI capabilities.
  • Communicate platform priorities, technical risks, and investment needs to senior leaders and stakeholders.

What we're looking for

  • Bachelor degree required; advanced degree preferred in business, engineering, computer science, data science, or a related field.
  • 8 plus years of AI engineering experience.
  • Proven track record of leading product strategy, roadmap development, and delivery for complex digital, data, or AI enabled products.
  • Experience translating business needs into scalable product solutions within AI and data driven environments.
  • Strong cross-functional leadership skills to collaborate with Engineering, Innovation, Design, Data Science, and Commercial teams.
  • Experience managing and developing product managers or junior product leaders.
  • Excellent strategic, analytical, and communication skills to communicate vision and outcomes to stakeholders.
  • Skills in AI, Machine Learning, Deep Learning, and Data Governance (preferred).

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