Director, Applied Artificial Intelligence
- Compensation
- Not disclosed
- Location
- US - MA - Wilmington
- Work setup
- Not specified
- Seniority
- C level
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Not specified
- Posted
Skills
Must have
- 10+ years of experience, including 4+ years in machine learning, AI, or data science and 3+ years leading applied AI or ML engineering teams.
- A track record of shipping LLM-based or agentic systems into production for enterprise customers.
- Deep hands-on expertise in agent architectures, including LLM reasoning, planning and task decomposition, tool use, agent memory, retrieval-augmented generation, and multi-agent orchestration.
- Experience designing evaluation methods for agent reasoning, planning, and decision quality, not only model outputs.
- Experience building AI systems with identity, role-based access, permissions, guardrails, and full audit trails.
- Strong software engineering foundations, including cloud platforms (AWS, Azure, or GCP), APIs, event-driven architectures, and distributed systems.
- Ability to explain complex AI concepts, including how agents reason and decide, to executives, customers, and non-technical operators.
- Master's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent experience required. PhD a plus.
Nice to have
- Background in cognitive architectures, automated planning, symbolic or neuro-symbolic reasoning, or decision theory.
- Experience with knowledge graphs, digital twins, optimization, or simulation environments for agent testing.
- Domain experience in supply chain, logistics, manufacturing, or life sciences operations.
- Familiarity with multienterprise networks, B2B integration, EDI, or supply chain control towers.
- Experience in regulated environments such as FDA, EU GMP, or DSCSA compliance.
- Published research, patents, or open-source contributions in agentic systems, reasoning, or planning.
Full description
Company overview:
TraceLink is the world’s largest Agentic Business Network, enabling life sciences and healthcare companies to build and manage a scalable digital workforce of governed, no-code AI agents that execute and coordinate mission-critical supply chain operations alongside human teams. Powered by the Integrate-Once™ OPUS platform, TraceLink links more than 300,000 network participants, enabling multi-enterprise processes at global scale.
Founded in 2009 with the simple mission of protecting patients, today Tracelink has 5 global offices, over 800 employees and more than 1700 customers in over 60 countries around the world. Our expanding product suite continues to protect patients and now also enhances multi-enterprise collaboration through innovative new applications such as MINT.
Tracelink is recognized as an industry leader by Gartner and IDC, and for having a great company culture by Comparably.
About TraceLink and OPUS
TraceLink is building an Agentic Supply Chain Operating System. Powered by the OPUS Platform, it continuously unifies the information required to perform operational work across multiple enterprises. It is built from the bottom up, starting with the companies that make up each customer's supply network.
The operating system rests on four foundations:
- Supply Network Digital Twin. A live representation of the partners, products, locations, and business transactions across the supply network, built on the Integrate-Once™ Agentic Business Network.
- Multienterprise Business Processes. Orders, shipments, inventory, quality, and compliance work that forms, adapts, and completes across enterprise boundaries rather than inside one system.
- Agentic Supply Chain Intelligence. Control Towers apply knowledge, analytics, and supply chain meta-reasoning to operational context, so people understand what is happening and what should happen next.
- Governed Agents. OPUS Agents are created as governed users, assigned to human managers, and controlled through OPUS Agent Profiles, roles, permissions, objectives, Tasks, Decisions, and Rules.
At the center of these foundations is the OPUS Brain: the cognitive layer that lets OPUS Agents perceive what is happening across the supply network, reason about it, plan, decide, coordinate with other agents and people, and learn from outcomes. All of this happens within the governance boundaries each agent is assigned. The OPUS Brain is what turns a governed identity into a capable digital teammate. Agents are users. Each has an identity, an assigned role, and scoped permissions, and every action it takes is recorded. The OPUS Brain makes sure every thought that leads to an action can be traced and explained as well.
Role overview
The Director of Applied Artificial Intelligence owns the OPUS Brain. You will lead the team that designs, builds, evaluates, and operates the cognitive functions that drive agentic orchestration for every OPUS Agent. Those functions include context assembly, memory, reasoning, planning, decisioning, multi-agent coordination, escalation, and learning.