Associate Director, Agentic AI PoC Lead (2 openings)
Novartis
August 24, 2026
Remote
United States
IT
Key Responsibilities:
- Lead the delivery of high-impact agentic AI proof-of-concepts from ideation through technical validation.
- Partner with business stakeholders to identify opportunities where autonomous AI agents create measurable value.
- Design and implement prototype solutions using LLMs, multi-agent frameworks, RAG, orchestration platforms, and modern AI tooling.
- Collaborate with AI Architecture, Product, and Engineering 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 and rapid learning.
Essential Requirements:
- Bachelor’s or advanced degree in Computer Science, Artificial Intelligence, Engineering, Data Science, or related field.
- 5+ years building AI/ML/software engineering solutions, including hands-on generative AI application development.
- Experience with LLMs, agent frameworks, RAG, vector databases, Python, APIs, cloud platforms, and AI orchestration.
- Strong prototyping and software engineering skills to rapidly build and validate concepts.
- Excellent communication and stakeholder management; ability to translate technical innovation into business value.
Desirable Requirements:
- Experience developing enterprise AI platforms or agentic AI solutions in large organizations.
- Experience in pharmaceutical, healthcare, or other highly regulated industries.
Compensation/Benefits (explicit):
- Salary range: $176,400–$327,600/year; performance-based cash incentive; potential annual equity awards; comprehensive benefits package and time off.
Role logistics: Remote in the U.S.; ~10% travel.
- Lead the delivery of high-impact agentic AI proof-of-concepts from ideation through technical validation.
- Partner with business stakeholders to identify opportunities where autonomous AI agents create measurable value.
- Design and implement prototype solutions using LLMs, multi-agent frameworks, RAG, orchestration platforms, and modern AI tooling.
- Collaborate with AI Architecture, Product, and Engineering 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 and rapid learning.
Essential Requirements:
- Bachelor’s or advanced degree in Computer Science, Artificial Intelligence, Engineering, Data Science, or related field.
- 5+ years building AI/ML/software engineering solutions, including hands-on generative AI application development.
- Experience with LLMs, agent frameworks, RAG, vector databases, Python, APIs, cloud platforms, and AI orchestration.
- Strong prototyping and software engineering skills to rapidly build and validate concepts.
- Excellent communication and stakeholder management; ability to translate technical innovation into business value.
Desirable Requirements:
- Experience developing enterprise AI platforms or agentic AI solutions in large organizations.
- Experience in pharmaceutical, healthcare, or other highly regulated industries.
Compensation/Benefits (explicit):
- Salary range: $176,400–$327,600/year; performance-based cash incentive; potential annual equity awards; comprehensive benefits package and time off.
Role logistics: Remote in the U.S.; ~10% travel.