- JD Posting date and time: Unavailable - Number of applicants if available: Not available in public capture - Date and time the resume was generated: 2026-09-02 10:54 AM EDT - Elapsed time between JD Posting date and time vs the resume generation time: Unavailable - JD level: AI leadership or senior technical leadership role selected from the current 24-hour East Coast/remote search after URL quality and duplicate gates. - Compensation: See posting/caveat; disclosed compensation was evaluated by the search gate when present. - Count and percent of matching Significant keywords in JD vs in resume: 20 JD / 18 resume (90.0%) - Fit Notes / caveats: Remote, U.S.; applicant count not available in public capture; $194,600-$361,400; travel to be defined by hiring manager; passed URL quality, executable duplicate, remote U.S., compensation, and AI-leadership gates. - JD text: See captured JD below. ## Captured JD Director, AI Foundations Engineering (2 Openings) - Novartis | Built In NYC - - - - - - - NYC Global Tech Hub BuiltIn.com is the global destination for tech professionals. builtin.com Popular Tech Hubs United States Austin Boston Chicago Colorado Los Angeles New York City Seattle San Francisco Australia Sydney Melbourne Canada Calgary Montreal Ottawa Quebec Toronto Vancouver India Bengaluru Chennai Delhi Hyderabad Kolkata Mumbai Pune Ireland Dublin Singapore Singapore United Kingdom London Cambridge Manchester Birmingham Bristol Companies Jobs Articles Can't find your company? Create a company profile. View All Jobs Join Log In For Employers - Hire on Built In - - Post a Job Novartis Jobs Director, AI Foundations Engineering (2 Openings) Novartis Director, AI Foundations Engineering (2 Openings) Posted 11 Days Ago Be an Early Applicant Remote Hiring Remotely in USA 195K-361K Annually Senior level Remote Hiring Remotely in USA 195K-361K Annually Senior level Leads the engineering strategy, architecture, development, operations, and continuous improvement of an enterprise agentic AI foundation. Establishes scalable engineering standards, operating models, governance, and reusable platform services that enable AI products and intelligent workflows. Partners with product, data, infrastructure, security, and business teams to modernize existing systems, guide cross-functional delivery, monitor operations, and communicate priorities, risks, and investment needs to senior leaders. Manages and develops product or engineering leaders while driving measurable business value. The summary above was generated by AI Job Description Summary #LI-Remote The Director, AI Foundations Engineer will drive the engineering strategy, delivery, and operational excellence for the organization’s agentic AI operating system, with responsibility spanning solution architecture, development, operations, and continuous improvement. This role will be central to enabling the transformation of existing processes, products, and services into agentic AI products and intelligent workflows by providing a scalable, secure, and high performing foundation. The ideal candidate will bring deep engineering leadership, systems thinking, and technical vision to guide the design and evolution of core agentic capabilities, establish engineering standards and operating models, and lead cross functional teams in delivering resilient and extensible AI services. Working closely with product leaders, business stakeholders, data and technology teams, and transformation leaders, this role will ensure the agentic systems accelerate innovation, support enterprise adoption, and delivers measurable business value through reliable and scalable execution. 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. There are 2 positions available.   Job Description Key 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. 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. Novartis Compensation Summary:   The salary for this position is expected to range between $194,600 and $361,400 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 [email protected] 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 Artificial Intelligence (AI), Business Value Creation, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Mentorship, Stakeholder Engagement, Statistical Analysis, Time Series Analysis Read Full Description Novartis East Hanover, New Jersey, USA Office East Hanover, United States, 0 Novartis East Orange, New Jersey, USA Office East Orange, United States Novartis Florham Park, New Jersey, USA Office Florham Park, United States Novartis Jersey City, New Jersey, USA Office Jersey City, United States Novartis Morris Plains, New Jersey, USA Office Morris Plains, United States Novartis New Brunswick, New Jersey, USA Office New Brunswick, United States Novartis New York, New York, USA Office New York, United States Novartis Newark, New Jersey, USA Office Newark, United States Novartis Parsippany, New Jersey, USA Office Parsippany, United States, 0 Novartis Paterson, New Jersey, USA Office Paterson, United States Novartis Wayne, New Jersey, USA Office Wayne, United States Similar Jobs CSC Senior Software Engineer 22 Minutes Ago Remote or Hybrid Senior level Senior level Fintech • Legal Tech • Software • Financial Services • Cybersecurity • Data Privacy Design, develop, test, and maintain cloud-based commercial tax software using full-stack technologies. 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And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States. Key Facts About NYC Tech - Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey) - Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify - Key Industries: Artificial intelligence , Fintech - Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook) - Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures - Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory Continue Apply Save Apply Instructions By clicking Apply Now you agree to share your profile information with the hiring company. 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