Executive Director, Head of Agentic Factory

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $225.4k - $418.6k / year

⏰ Full Time

🔴 Lead

👔 Director

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Novartis

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1996

🏥 Healthcare

💼 Consulting

🏭 Manufacturing

Healthcare • Consulting • Manufacturing

Novartis is an innovative medicines company dedicated to reimagining medicine to improve and extend people’s lives. With a presence in over 250 million patients worldwide, Novartis focuses on harnessing scientific breakthroughs to develop transformative, high-value treatments in areas such as cardiovascular, renal and metabolic diseases, immunology, neuroscience, and oncology. The company is committed to diversity, equity, and inclusion, and aims to create a positive impact through societal contributions and environmental sustainability efforts. Furthermore, Novartis engages in research collaborations and embraces modern technology platforms to advance their research and development capabilities, making them a leader in the global healthcare industry.

📋 Description

• Lead the vision, strategy, and execution of the enterprise Agentic Factory • Design, build, deploy, and scale AI agents and autonomous workflows transforming commercial operations • Build and scale reusable AI agents, orchestration frameworks, and agent development standards • Partner with product, engineering, and business leaders to identify and deliver high-value agentic AI use cases • Establish engineering best practices for LLMs, agent orchestration, evaluation, observability, security, and governance • Drive adoption of reusable tools, accelerators, and reference architectures • Lead and develop a high-performing team of AI engineers, platform engineers, and solution architects • Measure and continuously improve deployed AI agents' performance, reliability, and business value

🎯 Requirements

• Bachelor's or advanced degree in Computer Science, Engineering, Artificial Intelligence, or a related field • 12+ years of progressive experience leading AI engineering, platform engineering, software engineering, or enterprise technology organizations • 5+ years leading managers or multidisciplinary technical teams • Experience scaling AI or data platforms in pharmaceutical, healthcare, life sciences, financial services, or another regulated enterprise • Proven record scaling generative AI, agentic AI, ML, automation, or platform products from experimentation to production with measurable adoption, reliability, and business value • Strong technical fluency across LLMs, multi-agent orchestration, RAG, vector/graph databases, APIs, cloud platforms, MLOps/LLMOps, DevSecOps, observability, evaluation, access controls, and enterprise integration patterns • Demonstrated ability to build reusable engineering standards, reference architectures, accelerators, and developer enablement models • Experience managing portfolio prioritization, operating rhythms, technical debt, budget/resource trade-offs, vendor/partner orchestration, and risk governance • Executive-level communication and influence across Product, Engineering, Architecture, DDIT, security, legal/privacy, compliance, and business leadership

🏖️ Benefits

• Performance-based cash incentive • Eligibility to be considered for annual equity awards, depending on role level • Health benefits • Life benefits • Disability benefits • 401(k) with company contribution and match • Vacation • Personal days • Holidays • Other leaves • Reasonable accommodations for individuals with disabilities