About the Role
Role Mission

As HAI's first forward-deployed Deployment Architect, you will embed directly within health systems to architect and launch our healthcare AI agents into production. Your work will put breakthrough AI technology in front of clinical teams who desperately need it-directly shaping how thousands of patients receive safer, more responsive care. This role exists because our customers are ready to deploy at scale, and they need an expert who can bridge the gap between our cutting-edge AI and their operational reality.
What You Will Accomplish

Own your first major outcome: By day 90, you will have completed a full deployment cycle at your assigned health system: documented their clinical workflows, architected a custom integration with their EHR (Epic, Cerner, or Athena), designed and deployed at least one production AI agent handling real patient or clinical workflows, and trained their team to operate it independently.

Drive lasting impact: At 12 months, you will have scaled from one to multiple deployed agents across your health system, established a repeatable deployment playbook that reduces future implementation cycles by 40%, built strong enough relationships that customers are requesting you for expansions, and directly contributed evidence that our agents improve patient safety or operational efficiency-proving out the category in a real health system.
The Team

You'll join an embedded team of HAI engineers, clinical experts, and implementation leaders-working side-by-side at the customer site. You'll operate with high autonomy in the field, but with direct access to our product, ML, and clinical teams back home. This is a culture of bias toward action, customer obsession, and shipping real solutions that matter.
What You Will Do

• Partner with clinical and operational leaders onsite to map end-to-end workflows, identify AI automation opportunities, and translate complex clinical requirements into integration specifications and conversational AI designs
• Design and document technical integration architecture connecting our AI agents with enterprise EHR systems (Epic, Cerner, Athena), CRMs, patient engagement platforms, and clinical data repositories to ensure secure, compliant data flow
• Architect, customize, and deploy modular AI agents aligned to customer use cases-from patient triage and intake automation to clinical documentation support-managing the full deployment lifecycle from design through production launch
• Lead post-sale technical implementation as the primary technical contact, driving requirements definition, timeline management, stakeholder coordination, and ensuring deployment milestones are met and customer success is achieved
• Build repeatable tooling and playbooks that standardize our deployment process, reduce time-to-launch for future customers, and enable scaling of implementation capacity across multiple health systems

Basic Qualifications

• Bachelor's degree in Computer Science, Business, Engineering, or a related field
• Minimum 5 years of experience in healthcare implementation, enterprise software deployment, or health-tech product management
• Minimum 5 years of hands-on experience integrating with enterprise EHRs (Epic, Cerner, Athena, or similar platforms) or working in healthcare payer/digital health environments
• Demonstrated ability to build and maintain strong customer relationships and operate autonomously in client-embedded, field-based roles
• Proven track record of translating complex external stakeholder needs into actionable product and technical requirements
• Must be based within 50 miles of York, Pennsylvania, and available to work on-site at the customer site 5 days per week

Preferred Qualifications

• Master's degree in Computer Science, Business Administration, or Healthcare Management
• Experience building or deploying conversational AI, LLM-based systems, or clinical decision support tools
• Familiarity with healthcare compliance frameworks (HIPAA, HL7, FHIR) and experience navigating security and data governance requirements
• Startup or high-growth technology experience, particularly in scaling go-to-market or customer implementation functions
• Comfort reading, debugging, and discussing Python code with engineering teams
• Background in clinical operations, healthcare delivery, or patient-facing healthcare technology