Alcon

Associate Director, Agentic AI PoC Lead (2 openings)

Alcon$176K — $327K *
US-AnywhereRemote in United States
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or advanced degree in Computer Science, AI, Engineering, Data Science, or related field.
  • 5+ years' experience in AI, machine learning, or software engineering, including generative AI development.
  • Proficiency with LLMs, agent frameworks, RAG, vector databases, Python, APIs, cloud platforms, and AI orchestration.
  • Strong prototyping and software engineering skills for rapid validation of new concepts.
  • Outstanding communication skills for effectively conveying technical innovations to stakeholders.

Responsibilities

  • Lead high-impact agentic AI proof-of-concepts from ideation to technical validation.
  • Collaborate with business stakeholders to identify valuable opportunities for autonomous AI agents.
  • Design and prototype solutions leveraging modern AI technologies.
  • Work closely with AI Architecture, Product, and Engineering teams for production roadmap transitions.
  • Develop methodologies and evaluation criteria for AI experimentation.
  • Evaluate new AI technologies and recommend capabilities for integration into the AI roadmap.
  • Mentor AI engineers, promoting a culture of experimentation and innovation.

Benefits

  • Comprehensive health, life, and disability benefits.
  • 401(k) plan with company contributions and matching.
  • Generous time-off package, including vacation and personal days.
  • Eligibility for performance-based cash incentives and annual equity awards.
Full Job Description
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.

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

About Alcon

Alcon is a global medical company specializing in eye care products and services. The company's products include surgical equipment, contact lenses, and eye drops. Alcon was founded in 1945 and is headquartered in Baar, Switzerland. The company operates in over 70 countries and has over 20,000 employees. In 2019, Alcon became an independent publicly traded company after being spun off from Novartis.
Learn more about Alcon
Size
24,389 employees
Market Cap
$33.3 billion
Industry
Founded
1945
NASDAQ

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