Forward Deployed Engineer

Job Title

Forward Deployed Engineer

Location

Remote or Washington, D.C.

Reports to: VP, Strategy & Transformation

About The Company

Our client is a technology organization that delivers digital health and smart spaces solutions for healthcare providers, payers, life sciences organizations, and enterprises. It offers an integrated platform that connects people, data, and workflows to improve care coordination, patient engagement, and operational efficiency. Its portfolio includes virtual care, remote patient monitoring, care management, interoperability, and IoT-enabled workplace safety and facilities management.

Job Summary

The Forward-Deployed Engineer (FDE) is a transformation leader who applies modern AI-enabled workflow methodologies and intelligent automation platforms inside organizations. This role reflects the expectations of a forward-deployed practitioner—capable of full-stack AI implementation, leading customer-facing discovery and design analysis, creating functional and technical requirements, guiding execution of those requirements, and providing post–go-live oversight to ensure sustainable value realization.

Operating at the intersection of business, technology, and AI, this role leads Global Design sessions to reimagine how workflows across complex enterprises, then customizes a standardized AI-enabled workflow library to reflect each organization’s operating model. You will work directly with business and technology executives to translate strategy into design, validate impact through rapid configuration, and ensure each deployment achieves measurable improvements in speed, quality, and cost. Success requires strong functional domain knowledge—especially within healthcare, with healthcare payer experience preferred—along with technical foundations in ETL, data engineering, and software engineering.

Key ResponsibilitiesSupport Global Design and Process Mapping

• Participate in Global Design sessions to document current workflows, identify automation and AI-enablement opportunities, and define future-state process maps.
• Translate design outcomes into configuration requirements for AI-enabled workflows and orchestration logic under the guidance of senior engineering leaders.
• Support business and technology alignment through structured analysis, documentation, and visualization of workflows.
• Lead customer-facing discovery efforts to create detailed functional and technical requirements.
  
  

AI Workflow Configuration and Testing

• Configure and adapt components within the standardized workflow library to simulate future-state processes using AI-driven orchestration capabilities.
• Assist in scenario testing, workflow validation, and performance tracking.
• Document findings, design iterations, and improvement recommendations.
• Contribute to full-stack AI implementation by translating requirements into agentic workflows, data signals, and orchestration logic.
• Apply engineering fundamentals—including ETL and SWE concepts—to ensure accurate integration and workflow performance.
  
  

Deployment Enablement and Analysis

• Support deployment efforts by coordinating across business, IT, and engineering functions.
• Monitor workflow performance and AI agent behavior, capturing feedback for continuous optimization.
• Contribute insights to refine reusable design templates and orchestration patterns across engagements.
• Provide post–go-live oversight to ensure operational stability, quality improvements, and sustained value realization.
• Lead portions of requirement execution during deployment phases.
  
  

Requirements

• 3–5 years of experience in consulting, process transformation, enterprise systems implementation, or similar forward-deployed roles.
• Strong analytical skills and understanding of workflow design, automation, and systems integration.
• Exposure to AI tools, APIs, or data orchestration frameworks preferred.
• Working knowledge of Python, SQL, or low-code automation platforms a plus.
• Strong communication and collaboration skills, comfortable working across both business and technical teams.
• Intellectual curiosity and adaptability, comfortable navigating ambiguity in transformation environments.
• Healthcare experience beneficial; healthcare payer experience preferred.
• Technical grounding in ETL, software engineering fundamentals, and data-driven workflow design.
• Experience or interest in full-stack AI solution delivery—from requirements gathering to deployment and iteration.