Forward Deployed Engineer

Wolters Kluwer; Wichita (KS); On-site; USD 215,000 - 384,000; Full time

Benefits offered by this job

Medical, Dental, & Vision Plans

401(k)

FSA/HSA

Tuition Assistance Plan

Paid Parental Leave

Job summary

Wolters Kluwer Health seeks an experienced software/solutions leader to take the path from customer problem to proof, focusing on measurable outcomes and safe, scalable software. The role collaborates with clinical, editorial, security, privacy, and compliance teams while delivering prototypes and platform extensions using WK Health assets and standards.

With 7+ years in software engineering or related product roles, you will drive AI-enabled workflows and reusable patterns, ensuring alignment

Qualifications

• Bachelor’s degree in CS or related field; advanced degree preferred.
• 7+ years in software engineering or related product technology roles.
• Production-quality software in enterprise/regulatory environments.
• Healthcare tech experience across clinical workflows and EHR/payer/pharmacy systems.

Responsibilities

• Discover and frame outcomes with customer executives and clinicians.
• Design, code, integrate, test, and deploy prototypes using WK Health assets.
• Make field patterns reusable as APIs, connectors, and templates.
• Navigate responsible AI principles with cross-functional teams.

Skills

Python

TypeScript/JavaScript

Java

C#

Go

Mobile development

Product mindset

Low-ego collaboration

Education

Bachelor’s degree in CS/Engineering or related field

Advanced degree preferred

Tools

HL7 FHIR

SMART on FHIR

CDS Hooks

Secure APIs

Job description

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.

Job Description:

The FDE owns the path from customer problem to technical proof, measured outcome, and product feedback. They build fast, practical solutions while protecting safety, security, quality, and long-term maintainability. No direct reports are expected initially; the role may lead cross-functional virtual squads or technical workstreams.

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, 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 &/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.

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.

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Compensation:

$215,100.00 - $384,400.00 USD

This role is eligible for Bonus.

Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.

Additional Information:

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.

EQUAL EMPLOYMENT OPPORTUNITY Wolters Kluwer U. S. Corporation and all of its subsidiaries, divisions and customer/business units is an Equal Opportunity / Affimative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.