Director, AI Foundations Engineering

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 $245k
This role $278k
$168k $382k
below market most similar roles pay here above market

This role pays more than 70% of similar roles. Most pay $205,312–$285,000 — the blue band above. At the midpoint, this role pays about $278k versus about $245k 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.

Most-posted roles

View all roles at Novartis

At a glance

TL;DR · Director, AI Foundations Engineering

The Director, AI Foundations Engineering will lead the engineering strategy, delivery, and operational excellence for the organization’s agentic AI operating system. This role involves driving the design and development of AI foundations to transform existing processes and services into intelligent workflows. The successful candidate will build reusable platform services, tools, and components while establishing engineering standards, development practices, and governance models to ensure scalability and reliability. Key responsibilities include overseeing engineering teams, managing cross-functional partnerships with data and infrastructure teams, and monitoring agentic operations for continuous optimization. Required skills include deep experience in AI engineering, machine learning algorithms, deep learning, data science, and statistical analysis. The role focuses on solving the technical challenge of creating a secure, high-performing foundation for enterprise-wide agentic AI adoption.

What you'll do

  • Lead the design and development of the organization's agentic AI foundations using a disciplined engineering approach.
  • Define and implement engineering standards and development practices to ensure scalability, reliability, and repeatability.
  • Oversee engineering teams in building reusable platform services, tools, and components for agentic AI workflows.
  • Drive modernization efforts to integrate existing systems and processes with new AI capabilities.
  • Monitor agentic operations and user feedback to identify improvements and support continuous optimization.
  • 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 cross-functional stakeholders.

What we're looking for

  • Bachelor degree required in business, engineering, computer science, data science, or a related field.
  • 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.
  • Demonstrated experience translating business needs into scalable product solutions in AI and data-driven environments.
  • Strong cross-functional leadership skills to collaborate across 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 product vision and outcomes to stakeholders.

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