Director, Applied Artificial Intelligence

Company overview:

TraceLink is the worlds 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 300000 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 customers 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.

This is a hands-on leadership role at the intersection of AI research cognitive architecture and supply chain operations. You will decide how large language models reasoning and planning systems knowledge graphs and classical machine learning combine into a single reusable cognitive architecture. That architecture must serve many agent roles across multienterprise processes. You will also make sure the OPUS Brain enforces governance by design so that every agent reasons and acts only within its scoped permissions rules and objectives and stays accountable to its human manager.

Reporting to the Vice President of Platform Architecture you will lead a team of applied AI ML and agent-systems engineers. You will partner closely with Product Management Platform Engineering Solutions Security Compliance and Legal.

Key responsibilities

OPUS Brain strategy and architecture

• Define and own the architecture and multi-year roadmap for the OPUS Brain as the shared cognitive foundation for all OPUS Agents and Agentic Control Towers.
• Establish a modular set of cognitive functions that agent roles can compose and configure rather than rebuild: perception memory reasoning planning decisioning orchestration and reflection.
• Evolve the OPUS Brains capabilities so agents can progress from analysis and recommendation to governed autonomous execution.
• Make build-versus-buy and model-selection decisions across foundation models reasoning models retrieval systems and classical ML components.

Governance embedded in cognition

• Ensure the OPUS Brain enforces OPUS Agent Profiles roles permissions objectives Tasks Decisions and Rules at every step of reasoning and action not only at the point of execution.
• Make agent reasoning traceable: every Decision should be linked to the context knowledge and Rules that produced it and captured in the audit log.
• Define human-in-the-loop patterns inside the cognitive architecture including confidence thresholds escalation triggers and approval checkpoints.
• Protect against failure modes such as hallucination goal drift permission overreach and unsafe tool use through guardrails and runtime controls.

Evaluation and AI operations

• Build rigorous evaluation frameworks for each cognitive function and for end-to-end orchestration covering reasoning quality plan correctness decision accuracy adherence to Rules and permissions reliability cost and latency.
• Create simulation and scenario-testing environments grounded in the Digital Twin where agents can be tested against realistic supply chain disruptions before deployment.
• Own observability of agent reasoning drift detection incident response and continuous improvement.

Responsible AI and compliance

• Partner with Security Compliance and Legal to meet regulatory requirements in highly regulated industries such as life sciences.
• Define responsible AI standards for transparency explainability data privacy and auditability of agent reasoning and decisions.
• Make the OPUS Brains governance a product feature customers can inspect and trust including explanations human managers can understand.

Leadership and collaboration

• Hire develop and lead a high-performing team spanning applied AI research ML engineering and agent systems; set a culture of shipping measurement and accountability.
• Work with Product and Platform Engineering so agent teams can configure OPUS Brain capabilities for new operational roles quickly and safely.
• Work with Customer Success to bring agents into customer operations and turn feedback from human managers into improvements in the cognitive architecture.
• Represent TraceLinks work on agentic cognition with customers partners analysts and industry forums.

Qualifications

Required

• 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.
• Masters degree in Computer Science Engineering Mathematics or a related field or equivalent experience required. PhD a plus.

Desired

• 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.

Why join TraceLink

You will build the mind behind a new category: an operating system where people and governed AI agents work side by side across entire supply networks. The OPUS Brain decides how digital teammates understand reason and act on the partners products and transactions that keep critical goods including medicines moving safely. You will build agents that are capable because they think well are trusted and they are accountable by design.

TraceLink is committed to providing competitive compensation and benefits to all employees. This is the estimated base salary range for this role and should serve only as a guide. Final compensation offered may vary based on a variety of factors including but not limited to experience level fit for the role skills domain knowledge internal equity budget and location.

US Pay Range

$257900 - $347100 USD

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Required Experience:

Director