Forward Deployed Engineer - Healthcare Transformation

About the Role

Wolters Kluwer Health has a strong foundation in trusted clinical decision support. We are extending that foundation into outcome-focused solutions that connect clinical content, data, AI, and workflow to help customers improve clinical, operational, financial, and experience outcomes. The Forward Deployed Engineer is a product-minded, hands-on engineer who works with strategic customers and WK teams to discover high-value problems, build working solutions, validate impact, and turn repeatable patterns into scalable WK Health capabilities. The role reports into Technology and partners closely with Product. This is not a professional services, implementation delivery, or sales engineering role. It is a product-embedded engineering role that learns from real customer environments, accelerates adoption of WK Health platforms, and shapes reusable product direction across the Health division, including AI-enabled capabilities building on the momentum of our Expert AI propositions.

Essential Duties and 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.

Experience and Qualifications

• 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 and/or regulated environments.
• Healthcare technology experience across clinical workflows, EHR/payer/pharmacy systems, healthcare data platforms, or digital health, including HL7 FHIR, SMART on FHIR, CDS Hooks, RxNorm, SNOMED CT, LOINC, ICD-10, CPT, NDC, and 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.

Competencies

• 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.

Key Performance Indicators

• Customer outcomes and adoption: agreed workflow, safety, data quality, operational, or experience metrics.
• Time-to-value: speed from discovery to proof of value and from proof of value to production-ready deployment path.
• Reuse and productization: field patterns converted into reusable assets, platform capabilities, packaged solutions, or backlog input.
• Engineering quality: reliability, security/privacy alignment, test coverage, operational readiness, and low rework.

Pay

$215,100.00 – $384,400.00 USD. This role is eligible for a bonus. Compensation range listed is based on the primary location of the position. Actual base salary offer is influenced by skills, experience, and actual hiring location.