Forward Deployed Engineer

Key Responsibilities

• Support Design and Process Mapping
• Translate design outcomes into configuration requirements for AI-enabled workflows and orchestration logic.
• Lead customer-facing discovery efforts to create detailed functional and technical requirements.
• 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.
• Contribute to full-stack AI implementation by translating requirements into agentic workflows, data signals, and orchestration logic.
• Support deployment efforts by coordinating across clinical, IT, and engineering functions.
• Monitor workflow performance and AI agent behavior, capturing feedback for continuous optimization.
• 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