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Associate Director, Agentic AI PoC Lead (2 openings)

Novartis
Posted a month ago, valid for 9 days
Salary

$176,400 - $327,600 per year

Contract type

Full Time

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Sonic Summary

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  • The Associate Director, Agentic AI PoC Lead will oversee the design and development of proof-of-concepts for agentic AI, reporting to the Executive Director of AI Architecture & Lab Lead.
  • This remote position requires 5+ years of experience in AI, machine learning, or software engineering, with a focus on developing generative AI applications.
  • Key responsibilities include collaborating with business and engineering teams, implementing AI prototypes, and mentoring AI engineers to foster innovation.
  • The salary for this role ranges from $176,400 to $327,600 per year, with compensation determined by relevant skills and experience.
  • Candidates will also receive a comprehensive benefits package, including health benefits, a 401(k) plan with company contributions, and generous time off.

Band

Level 5


 

Job Description Summary

# LI-Remote

Reporting to the Executive Director, AI Architecture & Lab Lead, the Associate Director, Agentic AI PoC Lead is responsible for leading the rapid design, development, and validation of proof-of-concepts that demonstrate the value of agentic AI across the enterprise. This role partners with business, product, architecture, and engineering teams to transform emerging AI capabilities into validated solutions that can be industrialized by the Agentic Factory.

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. This position will require 10% travel.

There are two positions available.


 

Job Description

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 can create measurable value. 

  • Design and implement prototype solutions using LLMs, multi-agent frameworks, RAG, orchestration platforms, and modern AI tooling. 

  • Collaborate closely 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 new capabilities for inclusion in the enterprise AI roadmap. 

  • Mentor AI engineers and foster a culture of experimentation, rapid learning, and innovation. 

Essential Requirements:

  • Education: • 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, including 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 with the ability to rapidly build and validate new concepts. 

  • Excellent communication and stakeholder management skills with the 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. 

Novartis Compensation Summary: 

The salary for this position is expected to range between $176,400 and $327,600per year. 

 

The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. 

 

Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. 

 

US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves. 


 

EEO Statement:

The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. We strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.


 

Accessibility and reasonable accommodations

The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please send an e-mail to tas.nacomms@novartis.com call +1 (877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

https://www.novartis.com/careers/careers-research/notice-all-applicants-us-job-openings



 

Salary Range

$176,400.00 - $327,600.00


 

Skills Desired

Artificial Intelligence (AI), Biostatistics, Business Value Creation, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Python (Programming Language), Stakeholder Engagement, Statistical Analysis, Time Series Analysis


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