Director, Agentic Lab

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $194.6k - $361.4k / 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 rapid prototyping and technical validation of agentic AI solutions and autonomous workflows • Evaluate foundation models, agent frameworks, orchestration technologies, and developer tooling • Develop reusable proof-of-concepts, accelerators, and reference implementations for the Agentic Factory • Partner with AI Engineering, Platform Engineering, Product, and Architecture teams to productionize successful prototypes • Define best practices for prompt engineering, reasoning strategies, memory architectures, evaluation, and observability • Contribute to enterprise standards, documentation, and reusable engineering patterns for AI agents • Mentor AI engineers and cultivate a culture of experimentation, innovation, and continuous learning • Report to the Executive Director, Agentic Architecture & Lab • Travel 10% domestically and/or internationally

🎯 Requirements

• Bachelor's or advanced degree in Computer Science, Artificial Intelligence, Engineering, or a related technical discipline • 7+ years of experience building AI, machine learning, or software engineering solutions, including technical leadership experience • Hands-on expertise with LLMs, agent frameworks, RAG, vector databases, APIs, Python, and cloud-native development • Strong software engineering background with experience building production-grade AI applications • Excellent communication and collaboration skills with the ability to work across research, engineering, and business teams • Experience in pharmaceutical, healthcare, or other regulated industries • Experience building enterprise agentic AI platforms and developer ecosystems

🏖️ Benefits

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