Forward Deployed Engineer

Wolters Kluwer; Kennesaw (GA); On-site; USD 215,000 - 384,000; Full time

Job summary

Wolters Kluwer Health is seeking a Forward Deployed Engineer who blends product sense with hands-on engineering to translate customer problems into actionable prototypes within our health platform. You will work with cross-functional teams to design and deploy solutions that blend clinical content, data, and AI capabilities.

You will use HL7 FHIR and secure APIs while ensuring safety, governance, and long-term maintainability.

Qualifications

• 7+ years in software engineering or related roles.
• Healthcare technology experience with clinical workflows and healthcare data platforms.
• Ability to turn customer or stakeholder problems into requirements, prototypes, working software, and measurable outcomes.

Responsibilities

• Collaborate with customer executives and IT teams to understand workflows and adoption barriers.
• Design, code, integrate, test, and deploy prototypes and product extensions using WK Health assets and AI capabilities.
• Apply modern engineering practices including secure SDLC, automated testing, and AI-assisted development with human accountability.
• Design with reuse in mind to create APIs, connectors, templates, and reference architectures.

Skills

Python

TypeScript/JavaScript

Java

C#

Go

AI/GenAI

Education

Bachelor's degree in Computer Science or related field

Advanced degree preferred

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.

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.

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.

Compensation:

$215,100.00 - $384,400.00 USD

This role is eligible for Bonus.

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.