# Clinical AI Strategist - Pharmacist at Wolters Kluwer

Wolters Kluwer is hiring a Clinical AI Strategist - Pharmacist. It pays $145k-$258k a year and Level rates it Works on AI ●●●○; you can [apply on Wolters Kluwer](https://jobsbylevel.com/go/d182b966-356f-421b-9915-20b157b1b160?utm_medium=ai-agent).

AI Level 3, AI centrality 71 out of 100. USA - Indianapolis, IN.

## Details

- Company: [Wolters Kluwer](https://jobsbylevel.com/companies/wolters-kluwer)
- AI level: AI Level 3 (score 71 out of 100)
- Location: USA - Indianapolis, IN
- Salary: $145k-$258k
- Posted: November 12, 2026
- Apply: https://jobsbylevel.com/go/d182b966-356f-421b-9915-20b157b1b160?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=clinical-ai-strategist-pharmacist-at-wolters-kluwer-da13d9

## Prepare for this job

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## Description

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,

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