Lead Integration

Responsibilities: Integration Lead – Healthcare Data & Automation Location: Pune Experience: 8+ years Employment Type: Full-time, In-office Domain: Healthcare Technology / Value-Based Care About Fold Health Fold Health is building an AI-powered operating layer for value-based care — unifying data, workflows, and intelligence across healthcare organizations. Our platform enables seamless interoperability between EHRs, CRMs, claims systems, HIEs, and AI/analytics engines — helping providers, payers, and care teams deliver better outcomes at lower costs. We’re redefining healthcare interoperability by combining modern APIs, FHIR-based data models, and intelligent automation (RPA + AI). Join us to build the integration fabric that powers the next generation of healthcare delivery. Role Overview As the Integration Lead, you’ll architect and scale Fold’s interoperability layer — connecting diverse healthcare systems, payers, and data sources into one cohesive data fabric. You’ll lead the design and implementation of cloud-native integrations, RPA workflows, and real-time data exchanges that power patient 360s, AI-driven insights, and care coordination. This role blends deep healthcare integration expertise with a modern automation mindset — ideal for someone who can think beyond interfaces and architect an intelligent, scalable ecosystem. Core Responsibilities: - Integration Architecture & Development - Lead the design and development of high-performance, cloud-native integration pipelines across diverse healthcare systems (EHRs, claims, labs, CRM, patient engagement, wearables). - Build and maintain FHIR-based APIs, HL7 listeners, and webhooks using tools like Mirth Connect, Airbyte, AWS Lambda, and n8n. - Implement bidirectional data exchange with EHRs (Elation, eCW, athenahealth, Epic, Cerner, NextGen, etc.) and 3rd-party services using REST, GraphQL, and secure messaging protocols. - Collaborate with data and AI teams to ensure integrations feed into Fold’s data fabric and AI agents. - Automation & Workflow Integration: - Design and deploy RPA-driven workflows (e.g., UiPath, Python/Selenium, or n8n automations) to interface with systems lacking APIs or HL7/FHIR endpoints. - Integrate data from legacy portals, fax systems, and PDFs using OCR/NLP pipelines for ingestion into the Fold Data Fabric. - Partner with AI and data science teams to transform unstructured data (documents, notes, scanned forms) into standardized, actionable formats. - Data Quality, Compliance & Observability - Establish robust data validation, transformation, and monitoring frameworks to ensure accuracy, lineage, and reliability. - Maintain HIPAA, PHI/PII, and SOC2-compliant practices with secure credential management and audit trails. - Implement observability using tools like Prometheus, Grafana, or Stackdriver to monitor integration performance. - Collaboration & Cross-Functional Alignment - Work closely with the Product, Data, and AI/LLM teams to translate clinical and operational requirements into technical integration workflows. - Collaborate with customer engineering to deliver configurable integration templates that can be reused across clients. - Scalability & Continuous Improvement - Define integration best practices, documentation, and playbooks for the engineering org. - Lead and mentor integration engineers to establish reusable patterns and frameworks. - Continuously optimize cost, performance, and reliability of the integration layer. Requirements Must Have: - 6+ years of experience in healthcare integrations, interoperability, or health data platforms. - Deep understanding of HL7, FHIR, X12 EDI, CCD/CCDA, and related data models. - Hands-on experience with Mirth Connect, Airbyte, AWS Lambda, or similar middleware/integration tools. - Proficiency in Python or JavaScript for scripting, APIs, and data transformation (JSON, XML, CSV). - Familiarity with EHR APIs and integrations (eCW, Epic, Cerner, NextGen, etc.). - Strong knowledge of HIPAA security, OAuth2, and role-based access models. - Proven experience designing high-volume, low-latency integrations on cloud environments (AWS or GCP). Benefits Why Join Us? - Opportunity to build and scale an AI-powered healthcare platform impacting millions of lives. - Work with modern technologies in a mission-driven environment. - Collaborative and innovative culture with growth opportunities.