EverHealth - Lead Forward Deployed Engineer (Remote, US)

EverCommerce
•$170,000 - $200,000•Remote

About The Position

EverHealth, a business within EverCommerce, provides end-to-end software and services for healthcare providers. It is seeking a Lead Forward Deployed Engineer IV for its revenue cycle management (RCM) team, which is developing modern workflow software and AI agents to help billing teams resolve issues and collect payments more effectively. The role serves internal RCM professional services teams, including billers, A/R specialists, and operations leaders. The engineer will work between those teams and product and engineering, learning how workflows operate and building AI agents and automations for repetitive work. Initial focus areas include A/R follow-up, denial management, and claim rejections. Agents will connect to internal products, the clearinghouse, payer portals, and other systems. This forward deployed role combines stakeholder engagement with hands-on engineering. Responsibilities include leading discovery, translating ambiguous needs into requirements, delivering prototypes quickly, piloting and improving solutions based on feedback, and ensuring successful field-tested patterns are incorporated into core products. The position is a senior individual contributor in the EverHealth engineering organization, reporting to the engineering leader for RCM, with dotted-line partnerships into RCM professional services and product teams. The engineer will also help shape the forward deployed program, mentor future team members, and identify additional workflows for automation. The role is available remotely anywhere in the United States, except Chicago-area candidates will work hybrid and meet in person 1–2 days per week. Travel to the Denver corporate headquarters or other North American offices may be required, with optional periodic travel to RCM operations sites. Applicants must be eligible to work without sponsorship. The target base salary is $170,000–$200,000 USD per year in most U.S. locations.

Requirements

  • 8+ years of professional software engineering experience, including significant stakeholder- or customer-facing work in forward deployed, solutions, consulting engineering, or equivalent work directly partnering with business teams.
  • Hands-on experience building and shipping AI agents or LLM-powered automation to solve real business problems.
  • Strong skills in Python, JavaScript/TypeScript, or equivalent languages, and a track record of shipping production systems and integrations.
  • Exceptional communication and interpersonal skills, including the ability to build trust, listen effectively, and explain technical tradeoffs to operators, executives, and engineers.
  • Ability to lead discovery, manage stakeholder expectations, and translate ambiguous or changing requirements into working software.
  • Experience working with professional services, BPO, or operations teams to roll out tools or workflows.
  • Bias for action and comfort with ambiguity, with the ability to deliver incremental value quickly and adapt based on feedback.
  • Strong SQL skills and experience with APIs, data models, and integrations across multiple systems.
  • Daily hands-on use of AI coding and agent tools, such as Claude Code, Cursor, or Copilot, across the development lifecycle.
  • Product engineering mindset focused on user and business outcomes.
  • Must be eligible to work without sponsorship.

Nice To Haves

  • Experience with AWS Bedrock AgentCore or comparable agent runtimes and orchestration frameworks.
  • Experience with agent evaluation and human-in-the-loop workflows.
  • Experience building voice agents, such as agents automating outbound payer follow-up calls, or browser-use and computer-use agents that operate web portals.
  • Healthcare or RCM experience, including claims, EDI 837/835, eligibility, denial and A/R workflows, and HIPAA.

Responsibilities

  • Embed with RCM professional services and operations teams to understand workflows, pain points, and opportunities for AI and automation.
  • Lead stakeholder discovery and translate ambiguous business problems into requirements, delivery plans, and success measures tied to RCM outcomes.
  • Design, build, and deploy AI agents for work such as A/R follow-up, denial management, and claim rejections, using the shared RCM automation platform and partnering with software engineers on needed platform capabilities.
  • Build agents that operate across APIs, payer and clearinghouse web portals using browser automation, and payer phone calls using voice agents.
  • Design agents with least-privilege access, managed credentials, complete audit trails, human approval before claim or account changes, and compliance with payer portal terms and call disclosure and recording requirements.
  • Establish evaluation and observability so stakeholders can assess agent quality and outcomes alongside human-driven work.
  • Lead operational rollouts, including shadow and pilot phases, updated SOPs, user training, and regular reviews with operations leads and BPO partners.
  • Partner with RCM product and engineering teams to harden proven solutions into the core platform and share field learnings with product roadmaps.
  • Advise operations and business leaders, communicating progress, tradeoffs, and results to technical and non-technical audiences.
  • Mentor engineers and establish practices, patterns, and reusable components for repeatable forward deployed work.
  • Champion AI-assisted development across planning, design, coding, testing, review, and operations.
  • Build secure, reliable solutions that keep PHI within the AWS environment and meet HIPAA, SOC 2, and HITRUST requirements.

Benefits

  • Hybrid or remote work, depending on location.
  • Continued investment in professional development.
  • Day 1 access to health and wellness benefits, including an annual wellness stipend.
  • 401(k) with up to a 4% match and immediate vesting.
  • Flexible and generous FTO time off.
  • Employee Stock Purchase Program.
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