Director, AI Foundations Engineering
- Location
- US
- Workplace
- Remote
- Employment
- Full Time
- Salary
- USD 195,000–361,000/yr
Posted 24d ago
Note
The job is a remote job and is open to candidates in USA. Novartis is seeking a Director, AI Foundations Engineer to lead the engineering strategy, delivery, and operational excellence of its agentic AI operating system. The role will design scalable AI foundations, oversee platform engineering teams, establish standards and governance, and partner with cross-functional stakeholders to enable enterprise AI adoption and measurable business value.
Responsibilities
- Lead the design and development and ongoing improvement of the organization's AI foundations that will enable use cases through 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 and strategic priorities
- Oversee engineering teams in building reusable platform services, tools, and components that enable agentic AI products and workflows
- Drive modernization and integration efforts to connect existing systems and processes with AI capabilities
- Monitor agentic operations and user feedback to identify improvements, resolve issues, and support continuous optimization
- Establish effective operating models, support processes, and governance practices to ensure consistent delivery of AI capabilities
- Communicate platform priorities, delivery progress, technical risks, and investment needs to senior leaders and cross functional stakeholders
Skills
- * Bachelor degree required and advanced degree preferred, ideally in business, engineering, computer science, data science, or a related field
- * 8 plus years of AI engineering experience, with a strong track record of leading product strategy, roadmap development, and delivery for complex digital, data, or AI enabled products
- * Demonstrated experience in AI and data driven product environments, including translating business needs into scalable product solutions and partnering closely with technical teams to bring innovative products to market
- * Strong cross functional leadership skills, with proven ability to collaborate effectively across Engineering, Innovation, Design, Data Science, Commercial, and other business teams to drive alignment and execution
- * Experience managing and developing product managers or junior product leaders, including coaching, prioritization support, and fostering strong product management practices
- * Excellent strategic, analytical, and communication skills, with the ability to evaluate opportunities, make informed tradeoffs, and clearly communicate product vision, priorities, and outcomes to stakeholders
Benefits
- Your compensation will include a performance-based cash incentive
- Depending on the level of the role, eligibility to be considered for annual equity awards
- US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits
- A 401(k) with company contribution and match
- A variety of other benefits
- Employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves
- This position can be based remotely anywhere in the U.S.
Company Overview
- Novartis is a pharmaceutical company that researches and develops medicines for serious diseases to improve and extend people's lives. It is a sub-organization of Meye Asset Management. It was founded in 1996, and is headquartered in Basel, Basel-Stadt, CHE, with a workforce of 10001+ employees. Its website is https://www.novartis.com.
Company H1B Sponsorship
- Novartis has a track record of offering H1B sponsorships, with 2 in 2026, 14 in 2025, 27 in 2024, 23 in 2023, 27 in 2022, 31 in 2021, 25 in 2020. Please note that this does not guarantee sponsorship for this specific role.
Skills
- Agentic AI
- Machine Learning
- Deep Learning
- Data Science
- Data Governance
- Data Quality
- Data Visualization
- Statistical Analysis