Director, AI Foundations Engineer- Remote

Job Description Summary This position can be based remotely anywhere in the U.S. Please note that this role would not provide relocation as a result. The expectation of working hours and travel (domestic and/or international) will be defined by the Hiring Manager. Job Description The Strategy, Platforms & Transformation team is dedicated to enabling improved decision-making at Novartis by leveraging data and advanced analytics capabilities to generate actionable insights that drive business growth. We work within the US business, bringing insights and challenging ideas to empower smarter, data-driven decision-making. This role is crucial in driving AI transformation by bringing the best in AI and tech to unlock opportunities for growth and improve patient outcomes. The Director, AI Platform Engineer will lead the engineering delivery and evolution of the organization’s AI platform, with responsibility across platform design, development, integration, operations, and continuous improvement. This role will be instrumental in enabling the transformation of existing processes, products, and services into agentic AI products and intelligent workflows by providing the core platform capabilities needed to support scalable, secure, and reliable AI adoption. The ideal candidate brings strong engineering leadership, platform expertise, and technical depth to guide architectural decisions, oversee implementation, and drive operational excellence across shared AI services and tools. Working closely with product leaders, forward deployed engineering teams, data and infrastructure partners, and business stakeholders, this role will ensure the AI platform supports enterprise priorities, accelerates solution delivery, and evolves in line with user needs, performance insights, and emerging technologies. Major Accountabilities Lead the design, development, integration, deployment, and ongoing support of the organization's AI platform and related engineering capabilities. Define and implement platform architecture, engineering standards, and development practices that promote scalability, reliability, security, and maintainability. 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 platform capabilities. Monitor platform performance, operational health, 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 and platform reliability. Communicate platform priorities, delivery progress, technical risks, and investment needs to senior leaders and cross functional stakeholders. Essential Requirements: 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. The salary for this position is expected to range between $194,600.00 and $361,400.00 annual per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, 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, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves. EEO Statement: The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility and reasonable accommodations The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Salary Range $194,600.00 - $361,400.00 Skills Desired Agile (Programming Methodology), Artificial Intelligence (AI), Business Value Creation, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Strategy, Data Visualization, Deep Learning, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Mentorship, Nlp (Neuro-Linguistic Programming) And Genai, Organization Awareness, Stakeholder Engagement, Statistical Analysis, Time Series Analysis, Vision, Visualization