
Director, Applied Artificial Intelligence
About this role
The Director, Applied Artificial Intelligence position at TraceLink, Inc is located in Wilmington, Massachusetts and involves leading the design, building, and operation of the OPUS Brain cognitive architecture. This hands-on leadership role is ideal for an experienced AI and machine learning professional who wants to drive autonomous execution and agentic orchestration within supply chain operations.
Role Overview
The Director of Applied Artificial Intelligence owns the cognitive layer that powers agentic orchestration for every OPUS Agent at TraceLink. Operating in Wilmington, Massachusetts, this role sits at the intersection of AI research, cognitive architecture, and supply chain operations. The person in this position will combine large language models, reasoning systems, knowledge graphs, and classical machine learning into a reusable cognitive architecture while reporting to the Vice President of Platform Architecture.
Key Responsibilities
Requirements
Skills and Tools
Salary and Benefits
About the Company
TraceLink is an agentic business network that enables life sciences and healthcare companies to build and manage a digital workforce of governed, no-code AI agents. Powered by the Integrate-Once OPUS platform, the company links over 300,000 network participants to execute mission-critical supply chain operations. Founded in 2009, TraceLink employs over 800 people across 5 global offices and serves more than 1,700 customers in over 60 countries.
How to Apply
Interested candidates should apply on the official company careers page.
Skills and tech stack
Questions candidates ask
Where is the Director, Applied Artificial Intelligence role located?
The position is located in Wilmington, Massachusetts, United States.
What is the salary range for this position?
The salary range is $257,900 to $347,100 USD.
Who does this role report to?
This role reports to the Vice President of Platform Architecture.
What level of experience is required for applicants?
Applicants must have 10+ years of experience, including 4+ years in machine learning, AI, or data science, and 3+ years leading applied AI or machine learning engineering teams.
What educational background is required?
A Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field is required, with a Master's or PhD highly desired.