$ cat jobs/associate-director-ai-foundations-engineering-3-openings-novartis-48097066a4c1.json
Associate Director, AI Foundations Engineering (3 Openings)
Job Description Summary The Associate Director, AI Foundations Engineering will lead the engineering strategy, design, development, deployment, and ongoing optimization of our agentic AI platform and solutions. This role is responsible for building scalable, secure, and reliable AI-driven systems that transform existing products, processes, and workflows into intelligent, agentic AI experiences. As a key technical leader, the Associate Director will partner closely with product, data, architecture, security, and business teams to define platform capabilities, drive implementation excellence, and operationalize continuous improvement across the AI lifecycle. The ideal candidate brings deep expertise in AI engineering, platform architecture, and production operations, along with a strong track record of translating emerging AI capabilities into practical, high-impact business solutions. This position can be based remotely anywhere in the U.S. (there may be some restrictions based on legal entity). 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 3 positions available. Job Description Key Responsibilities: Lead the architecture, design, and engineering delivery of the organization's agentic AI platform and related solutions. Drive the transformation of existing products, processes, and workflows into scalable agentic AI-enabled capabilities. Oversee end-to-end AI engineering operations, including development, deployment, monitoring, reliability, and continuous improvement. Partner with cross-functional stakeholders to define technical roadmaps, platform standards, and solution priorities aligned to business goals. Establish engineering best practices for AI system performance, scalability, security, governance, and maintainability. Guide the evaluation, integration, and optimization of AI models, orchestration frameworks, and