Clinical AI Strategist - Pharmacist

LOCATION: Hybrid – 8 days a month in the office (see locations on the posting)

Overview

The Clinical AI Strategist (Pharmacy) is the embedded pharmacy domain authority within a Pharmacy and Health Technology (PHT) Agentic PDLC product pod that serves as the Expert Practitioner, dedicated full-time to building, validating, and continuously improving AI-enabled and agentic pharmacy solutions. Working alongside the Product and Engineering team, the Clinical AI Strategist translates pharmacist workflows, clinical decision points, drug information needs, and operational constraints into agent capabilities and logic, domain-specific quality standards, evaluation rubrics, and AI evals, and takes long-term ownership of the domain quality of those agents throughout their lifecycle.

Working across Product, Engineering, Design, Editorial, Quality, Legal, and Compliance, the Clinical AI Strategist validates hypotheses, prototypes, and working product increments against real-world pharmacy practice and helps set the quality bar for accuracy, safety, and trust.

This is a product development role embedded in an AI development team, not an editorial or content-authoring role.

Clinical AI Strategist input complements, but does not replace, direct customer validation, the Product Manager’s accountability for prioritization and product direction, or required QA, regulatory, and release approvals.

This role is central to shaping trustworthy, clinically intelligent AI. The Clinical AI Strategist embeds pharmacy clinical reasoning into AI architecture, guides system validation, and ensures outputs remain faithful to Wolters Kluwer’s trusted content, helping define a new standard for pharmacy and clinical decision support by drawing on expertise across patient care, medication safety, quality, and health system operations.

Responsibilities

The Clinical AI Strategist is a dedicated member of an Agentic PDLC product pod across the full lifecycle: Strategy, Discovery, Viability, Build & Test, Launch, and Scale & Monitor.

The role brings pharmacy domain expertise into every learning loop, acts as a customer proxy before early-access testing, defines what good looks like for AI outputs and agent behavior, and partners daily with engineering to develop, evaluate, and maintain agentic capabilities.

Engineering enables the underlying platform, user interface, and APIs; the Clinical AI Strategist provides the domain expertise required to build and sustain the agent itself.

Success requires deep pharmacy practice knowledge, the ability to make domain judgment explicit through scenarios, rubrics, and acceptance criteria, rigorous evaluation of AI outputs, strong cross-functional collaboration, and a commitment to continuous learning as AI capabilities evolve.

The Clinical AI Strategist works closely with Product Managers, Lead Builder, Builders, Product Design, and Product Marketing, participates in weekly demos and learning loops, and provides rapid, structured domain feedback that informs requirements, backlog priorities, and go/no-go decisions.

Key Responsibilities – Clinical AI Strategy & Development

Represent pharmacist workflows within the pod by mapping tasks, decision points, information sources, handoffs, exceptions, and operational constraints across target pharmacy practice settings, identifying opportunities to reduce friction while preserving professional judgment and human oversight.

Validate problem statements, hypotheses, prototypes, and assumptions during Discovery and Viability, serving as a customer proxy before early access while partnering with the Product Manager and Design to engage practicing pharmacists and customers directly.

Develop agent capabilities and logic in daily partnership with engineering, including domain reasoning, workflow steps, guardrails, and escalation paths to a pharmacist, and refine prompts and context to improve agent behavior.

Contribute to the strategic approach and technical execution of AI architecture, prompt strategies, and clinical search and retrieval logic so that outputs stay grounded in and faithful to Wolters Kluwer’s trusted content.

Define and maintain clinical indices and decision pathways that reflect real-world pharmacist reasoning across practice settings and therapeutic areas.

Define pharmacy-domain quality standards and acceptance criteria for AI outputs and agent behaviors, including clinical accuracy, completeness, relevance, source traceability, handling of uncertainty, and appropriate human oversight.

Author, maintain, and version AI evals, including evaluation scenarios, representative test cases, expected outcomes, and scoring rubrics that cover routine tasks, ambiguous inputs, edge cases, and failure modes; partner with Engineering and QA to run evaluations and assess regressions.

Lead and contribute to validation processes, including clinical benchmarks, red-teaming protocols, safety checks, and continuous expert testing to confirm outputs are clinically faithful and meaningful.

Review AI-generated outputs and agent interactions for domain correctness, safety, and workflow fit; document errors, unsupported conclusions, inappropriate actions, and usability gaps, and provide actionable feedback to improve agent behavior and supporting content.

Participate in weekly demos and learning loops, translating findings into recommended changes to requirements, acceptance criteria, and evaluation coverage, with the Product Manager retaining accountability for prioritization and product direction.

Provide documented launch-readiness assessments against agreed quality bars for accuracy, safety, and trust, and escalate unresolved domain risks before release; domain review does not replace required QA, clinical, regulatory, legal, or release approvals.

Own the ongoing domain quality of deployed agents through Scale & Monitor by reviewing performance and customer feedback, investigating issues, and updating evals and agent logic as drug information, practice standards, and customer needs change.

Serve as a clinical liaison between AI product pods and editorial and content operations, aligning workflows, standards, and content updates, and translating user feedback into system improvements with product, engineering, and editorial teams.

Monitor and research regulatory frameworks and risk management strategies relevant to clinical and pharmacy AI, and apply them to quality standards and evaluation coverage.

Maintain AI-readable pharmacy-domain context assets, including workflow maps, domain artifacts, and evaluation libraries, in the product context repository so they can be reused across pods and agents.

Represent Wolters Kluwer externally through white papers, conference presentations, and thought leadership on trustworthy clinical AI in pharmacy.

Other Duties

Share pharmacy-domain insights, evaluation practices, and reusable agents and skills across PHT product teams and the broader Expert Practitioner community.

Continuously build skills in AI evaluation, prompt and context refinement, and responsible AI through Product Enablement training and coaching.

Complete required corporate training and participate in company initiatives and performance planning activities.

Qualifications

Education

Doctor of Pharmacy (PharmD) required with active Pharmacy license in any US state. Additional experience or training in pharmacy informatics, health technology, quality improvement, or AI evaluation preferred.

Experience

Minimum 10 years of pharmacy practice, with demonstrated depth in patient care and a deep understanding of pharmacist workflows, professional decision-making, medication-use processes, and pharmacy information systems, plus breadth across areas such as health system administration, medication safety, quality improvement, clinical research, education, or publishing.

Experience translating practice needs into workflow improvements, software requirements, test scenarios, or quality criteria.

Demonstrated ability to work daily within agile, cross-functional product and engineering teams, build trust, break down silos, and influence decisions without direct authority.

Familiarity with evidence-based medicine and editorial workflows.

Experience in pharmacy informatics, clinical decision support, drug information, digital health product development, user research, or AI output evaluation preferred.

Experience with AI evaluation datasets and rubrics, prompt and context refinement, pharmacy software implementation, usability testing, or structured drug information preferred. Software engineering or model-development expertise is not required.

Other Knowledge, Skills, Abilities or Certifications

Certifications

Board certification (e. g., Pharmacy Informatics Specialty Certification (BCIP) preferred but not required.

Pharmacy Domain Expertise: Deep knowledge of pharmacist tasks, workflow dependencies, professional standards, and drug information needs.

Workflow Translation: Converts domain judgment into explicit scenarios, expected outcomes, acceptance criteria, and agent logic.

AI Evaluation: Designs and maintains evals and scoring rubrics; assesses AI outputs for accuracy, completeness, traceability, and safety.

Agent Development Partnership: Works hands-on with engineering to shape agent objectives, guardrails, escalation paths, and continuous improvement.

Quality and Safety Judgment: Assesses evidence, identifies uncertainty, and communicates domain risks clearly before and after release.

Learning Loop Collaboration: Provides rapid, structured feedback through weekly demos and iterative validation cycles.

Responsible AI: Applies human-in-the-loop principles and keeps human accountability for clinical and product decisions.

Adaptability: Comfortable with ambiguity and rapid iteration; pivots quickly based on feedback and evolving strategy.

• Strategic Influence: Contributes to central clinical AI strategy and influences product direction.
• Communication: Strong analytical, written, and ve