Director, AI Foundations Engineering (2 openings)

About the role

Novartis is hiring two Directors of AI Foundations Engineering, working remotely from anywhere in the U.S. The role drives the engineering strategy, delivery and operational excellence of the organization's agentic AI operating system, covering solution architecture, development, operations and continuous improvement. It works closely with product leaders, business stakeholders, data and technology teams and transformation leaders. Relocation is not provided, and working hours and travel are defined by the Hiring Manager.

Key responsibilities

• Lead the design, development and ongoing improvement of the organization's AI foundations using a disciplined engineering approach.
• Define and implement an agentic AI foundational system, engineering standards and development practices that promote scalability, reliability, repeatability and continuous improvement.
• Partner with product, data, infrastructure, security and business teams to align platform capabilities with enterprise needs.
• Oversee engineering teams in building reusable platform services, tools and components for agentic AI products and workflows.
• Drive modernization and integration of existing systems and processes with AI capabilities.
• Monitor operations and user feedback to identify improvements and resolve issues.
• Establish operating models, support processes and governance practices for consistent delivery of AI capabilities.
• Communicate priorities, progress, technical risks and investment needs to senior leaders and stakeholders.

Required profile

• Bachelor's degree required, advanced degree preferred, ideally in business, engineering, computer science, data science or a related field.
• 8+ years of AI engineering experience, with a track record of leading product strategy, roadmap and delivery for complex digital, data or AI-enabled products.
• Demonstrated experience in AI and data-driven product environments, translating business needs into scalable solutions.
• Experience managing and developing product managers or junior product leaders, including coaching and prioritization support.
• Strong cross-functional leadership and excellent strategic, analytical and communication skills.

Required skills

• Artificial intelligence and machine learning (algorithms)
• Data science, data visualization, data governance and data quality
• Deep learning and statistical analysis

What we offer

• Expected salary range of $194,600 to $361,400 per year, with a performance-based cash incentive and possible annual equity awards.
• Health, life and disability benefits, 401(k) with company contribution and match.
• Vacation, personal days, holidays and other leaves.