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Epic Hl7 Jobs (NOW HIRING)

AI Solutions Architect

New York, NY · On-site

$69 - $90.75/hr

Experience integrating with Epic, HL7, FHIR, and SMART-on-FHIR Working knowledge of LLMs, GenAI tools, LangChain, Weaviate or ChromaDB

Deep technical expertise in HL7 and FHIR standards - you understand how healthcare data moves ... Active Epic certification in Bridges, Clarity, Caboodle, or another relevant technical module.

Candidates will have opportunity to get Epic Certified!!! The ideal candidate will have 3+ years experience working with HL7 Integration within a hospital setting. The candidate must have experience ...

Understand and support HL7 messaging and integration testing. * Provide support during go-lives ... Epic Aura and Bridges experience is preferred * Familiarity with HL7, FHIR, API-based ...

$80 - $100/hr

Build and maintain interfaces between Epic and external systems using HL7, X12, FHIR, etc. * Monitor interface operations and proactively identify, troubleshoot, and resolve issues related to message ...

Experience with EMR/EHR systems (Epic, Cerner, Meditech, Allscripts, or similar) required ... HL7 certification (e.g., HL7 CDA, HL7 FHIR, or equivalent) preferred. * Experience with Cadwell ...

Experience with EMR/EHR systems (Epic, Cerner, Meditech, Allscripts, or similar) required ... HL7 certification (e.g., HL7 CDA, HL7 FHIR, or equivalent) preferred. * Experience with Cadwell ...

Build and maintain interfaces between Epic and external systems (using HL7, X12, FHIR, etc.) * Monitor interface operations and proactively identify, troubleshoot, and resolve issues related to ...

OR

$135K - $203K/yr

Build and support integrations with EHR/EMR systems (e.g., Epic, Cerner, Allscripts) * Configure ... Strong knowledge of HL7 v2.x messaging standards (ADT, ORU, ORM, etc.) * Hands-on experience with ...

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Epic Hl7 information

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$10

$73

$99

How much do epic hl7 jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for epic hl7 in the United States is $73.32, according to ZipRecruiter salary data. Most workers in this role earn between $64.18 and $83.65 per hour, depending on experience, location, and employer.

What is an Epic HL7?

An Epic HL7 job involves working with the HL7 (Health Level Seven) standard to facilitate the exchange of healthcare data between Epic systems and other applications. Professionals in this role configure, troubleshoot, and maintain HL7 interfaces to ensure seamless communication of patient and clinical data. They collaborate with healthcare IT teams to support interoperability, data integration, and workflow optimization. Strong knowledge of Epic Bridges, HL7 message types, and interface engines is typically required.

What are the typical daily responsibilities and challenges for an Epic HL7 specialist?

As an Epic HL7 specialist, your typical day involves designing, testing, and maintaining HL7 interfaces between Epic and other healthcare applications to support smooth data exchange. You’ll troubleshoot integration issues, ensure compliance with industry standards, and collaborate closely with clinical, IT, and vendor teams to implement solutions. One common challenge is rapidly resolving data transmission errors or workflow disruptions to minimize impacts on patient care. The role requires balancing technical tasks with effective communication across multidisciplinary teams, making adaptability and problem-solving key for success.

What are the key skills and qualifications needed to thrive in the Epic HL7 position, and why are they important?

To thrive as an Epic HL7 specialist, you need a solid understanding of healthcare data integration, HL7 messaging standards, and Epic EHR systems, typically supported by a degree in information technology, health informatics, or a related field. Familiarity with integration engines (such as Mirth or Rhapsody), Epic Bridges certification, and scripting languages is frequently required. Strong analytical skills, attention to detail, and effective communication are important soft skills that help ensure successful collaboration. These abilities are crucial for managing complex data flows, troubleshooting interface issues, and ensuring seamless information exchange across healthcare systems.

More about Epic Hl7 jobs

What are the most commonly searched types of Epic Hl7 jobs?

The most popular types of Epic Hl7 jobs are:

What states have the most Epic Hl7 jobs?

States with the most job openings for Epic Hl7 jobs include:

Infographic showing various Epic Hl7 job openings in the United States as of August 2026, with employment types broken down into 3% Locum Tenens, 2% As Needed, 71% Full Time, 11% Part Time, and 13% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $152,511 per year, or $73.3 per hour.

AI Solutions Architect

Marencor

New York, NY • On-site

$69 - $90.75/hr

Contractor

Re-posted 4 days ago


Job description

AI/ML Architect (AI Solutions Architect)

Location: New York, NY

Role Summary:

Design the architecture for deploying scalable, observable, and compliant AI/ML solutions integrated with clinical workflows and hospital data platforms.

 

Responsibilities:

  • Architect end-to-end ML pipelines using Airflow, and MLFlow or Vertex AI
  • Build containerized model inference systems deployed on Kubernetes with AppDynamics and observability
  • Full ownership of model lifecycle: development, deployment, drift monitoring
  • Proficient with GCP Vertex AI, Azure ML, container orchestration (K8s, Docker)
  • Design architecture to support GenAI workloads (LLMs, embeddings) using Vertex AI or Azure OpenAI
  • Define governance and guardrails for deploying agentic systems in clinical workflows
  • Design real-time inference services integrated with Epic via FHIR APIs
  • Ensure HIPAA-compliant encryption, access controls, and audit trails
  • Implement MLOps patterns: model versioning, rollback, shadow testing
  • Define architecture for RAG (retrieval augmented generation) systems using vector databases (e.g., FAISS, Pinecone)
  • Deploy LLM-based agents and secure GenAI pipelines (prompt injection protection, moderation, output fallback)
  • Support agentic AI orchestration with frameworks like LangChain, CrewAI

 

Required Qualifications:

  • 8+ years in data/ML or AI architecture roles
  • Deep knowledge of Kubernetes, Docker, Snowflake, cloud-native tools (GCP, Azure)
  • Experience with HIPAA-regulated, real-time model deployment

 

Preferred Qualifications:

  • Experience integrating with Epic, HL7, FHIR, and SMART-on-FHIR
Working knowledge of LLMs, GenAI tools, LangChain, Weaviate or ChromaDB