Forward Deployed Engineer

Job Title

Forward Deployed Engineer

Location

Doral, FL (Onsite)

About Our Client

Our client is a leading provider of comprehensive, value-based primary care services for Medicare Advantage members across South Florida. With a mission centered on whole-person health, they integrate clinical care, specialty services, and technology-driven solutions to deliver exceptional outcomes for their patients. The organization is committed to leveraging modern data platforms and intelligent automation to enhance clinical workflows, operational efficiency, and the patient experience across their network of centers.

Job Summary

The Forward Deployed Engineer (FDE) is a transformational practitioner who applies modern AI-enabled workflow methodologies and intelligent automation platforms inside clinical and operational organizations. A core focus of this role will be identifying opportunities to replace outdated clinical and non-clinical workflows with advanced analytics and AI-driven solutions, automating manual processes, reducing administrative burden, and driving meaningful productivity gains across the organization. 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.

Key Responsibilities

Support Design and Process Mapping

• Participate in design sessions with clinical and operational teams 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 alignment between clinical, business, and technology teams through structured analysis, documentation, and visualization of workflows.
• Lead customer-facing discovery efforts to create detailed functional and technical requirements that reflect the unique needs of our client's clinical teams.

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 across clinical use cases.
• Document findings, design iterations, and improvement recommendations for continuous refinement.
• Contribute to full-stack AI implementation by translating requirements into agentic workflows, data signals, and orchestration logic.

Deployment Enablement and Analysis

• Support deployment efforts by coordinating across clinical, IT, and engineering functions to ensure smooth rollouts.
• Monitor workflow performance and AI agent behavior, capturing feedback from clinical teams 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 clinical value realization.
• Lead portions of requirement execution during deployment phases, partnering closely with clinical staff to drive adoption.

Requirements

• 5+ years of experience in Data Engineering, AI Engineering, and/or Forward Deployed Engineering
• Hands-on experience with Snowflake for data warehousing, querying, and pipeline integration in a production environment.
• Proficiency with Microsoft Azure Cloud services, including data engineering, storage, and deployment infrastructure.
• Experience with ETL pipeline design and software engineering fundamentals in a data-driven environment.
• Strong understanding of healthcare clinical workflows, care team structures, and operational processes. Medicare Advantage or primary care experience strongly preferred.
• Strong analytical skills and understanding of workflow design, automation, and systems integration.
• Exposure to AI tools, APIs, or data orchestration frameworks. Working knowledge of Python and SQL required.
• Strong communication and collaboration skills, with demonstrated ability to work across clinical and technical stakeholders.
• Intellectual curiosity and adaptability, comfortable navigating ambiguity in transformation environments.
• Experience or interest in full-stack AI solution delivery, from requirements gathering through deployment and iteration.