Forward Deployed Engineer - Healthcare Transformation

Wolters Kluwer•Minneapolis, MN

57d•$215,100 - $384,400•Onsite

About The Position

Wolters Kluwer Health is building on its foundation of trusted clinical decision support to develop outcome-focused solutions. These solutions integrate clinical content, data, AI, and workflow to help customers improve clinical, operational, financial, and experience outcomes. The Forward Deployed Engineer (FDE) is a product-minded, hands-on engineer who collaborates with strategic customers and internal teams to identify high-value problems, develop working solutions, validate their impact, and transform repeatable patterns into scalable capabilities for WK Health. This role reports into Technology and works closely with Product. It is distinct from professional services, implementation delivery, or sales engineering roles. As a product-embedded engineering role, the FDE gains insights from real customer environments, accelerates the adoption of WK Health platforms, and influences reusable product direction across the Health division, including AI-enabled capabilities that leverage the momentum of our Expert AI propositions.

Requirements

Bachelor’s degree in computer science, Software Engineering, Biomedical Informatics, Data Science, Health Informatics, Engineering, or equivalent practical experience. Advanced degree preferred but not required.
7+ years in software engineering, customer-facing engineering, solution architecture, technical product management, or related product technology roles.
Production-quality software experience in enterprise &/or regulated environments.
Healthcare technology experience across clinical workflows, EHR/payer/pharmacy systems, healthcare data platforms, or digital health. (HL7 FHIR, SMART on FHIR, CDS Hooks, RxNorm, SNOMED CT, LOINC, ICD-10, CPT, NDC, Integration with Epic, Oracle Health/Cerner, MEDITECH, Athenahealth, payer platforms)
Modern software delivery with AI/GenAI, LLMs, RAG, agentic workflows, AI evaluation, prompt/retrieval testing, or responsible AI governance.
Ability to turn customer or stakeholder problems into requirements, prototypes, working software, and measurable outcomes.
Comfort operating across product, technology, commercial, clinical, security, and customer teams.
Strong programming ability in Python, TypeScript/JavaScript, Java, C#, Go, or comparable languages; mobile development is a plus.
Resourceful problem-solving: move quickly from unclear problem to practical solution while preserving a path to scale and supportability.
Product mindset: prioritize outcomes, adoption, reuse, and roadmap learning over one-off delivery.
Low-ego collaboration: push teams constructively, share credit, and focus on customer and team success.

Nice To Haves

Advanced degree preferred but not required.
Mobile development is a plus.

Responsibilities

Discover and Frame Outcomes: Work with customer executives, clinical leaders, informaticists, pharmacists, IT/data teams, and end users to understand workflows, constraints, decision points, and adoption barriers. Translate ambiguous needs into outcome hypotheses, use cases, success metrics, acceptance criteria, prototypes, and implementation options anchored in measurable customer value.
Build, Integrate, and Validate: Design, code, integrate, test, and deploy prototypes and product extensions using WK Health assets, APIs, data, AI capabilities, and platform services. Apply healthcare integration patterns where appropriate, including HL7 FHIR, SMART on FHIR, CDS Hooks, secure APIs, and cloud-native approaches. Use modern engineering practices, including Spec Driven Development, automated testing, observability, secure SDLC, and AI-assisted or agentic development with human accountability.
Make Field Learning Reusable: Design with reuse as the default; convert field-built patterns into APIs, connectors, reference architectures, templates, evaluation harnesses, playbooks, and product backlog input. Work with Product and Engineering to determine what should become a platform capability, packaged solution, roadmap priority, or retired one-off pattern.
Navigate Responsibly: Build AI-enabled workflows grounded in trusted content, clear user intent, human oversight, auditability, and post-deployment monitoring. Partner with clinical, editorial, security, privacy, legal, and compliance teams to align solutions with WK responsible AI principles, healthcare safety, and data governance expectations. Create alignment across WK and customer teams with clarity, humility, curiosity, and judgment; communicate tradeoffs and push for impact without creating unsupported customization or unmanaged risk.