Associate Director, Agentic AI PoC Lead – 2 openings

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $176.4k - $327.6k / year

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

🦅 H1B Visa Sponsor

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Novartis

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 high-impact agentic AI proof-of-concepts from ideation through technical validation • Partner with business stakeholders to identify opportunities for autonomous AI agents • Design and implement prototype solutions using LLMs, multi-agent frameworks, RAG, orchestration platforms, and modern AI tooling • Collaborate with AI Architecture, Product, and Engineering teams to transition successful PoCs into production roadmaps • Establish repeatable methodologies, evaluation criteria, and technical documentation for AI experimentation • Assess emerging AI technologies and recommend capabilities for the enterprise AI roadmap • Mentor AI engineers and foster experimentation, rapid learning, and innovation • Travel 10%

🎯 Requirements

• Bachelor's or advanced degree in Computer Science, Artificial Intelligence, Engineering, Data Science, or a related discipline • 5+ years of experience building AI, machine learning, or software engineering solutions • Hands-on development of generative AI applications • Experience with LLMs, agent frameworks, RAG, vector databases, Python, APIs, cloud platforms, and AI orchestration technologies • Strong prototyping and software engineering skills • Ability to rapidly build and validate new concepts • Excellent communication and stakeholder management skills • Ability to translate technical innovation into business value • Experience developing enterprise AI platforms or agentic AI solutions in large organizations • Experience in pharmaceutical, healthcare, or other highly regulated industries

🏖️ 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

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