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AI Technical Architect

Job in Coshocton, Coshocton County, Ohio, 43812, USA
Listing for: Healthcare Staffing
Full Time position
Listed on 2025-12-18
Job specializations:
  • IT/Tech
    AI Engineer, Data Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
AI Technical Architect page is loaded## AI Technical Architect locations:
Northpointe Condo 4time type:
Full time posted on:
Posted Todayjob requisition :
JR105123#
** GENESIS HEALTHCARE SYSTEM
** In order to fill our Mission of serving our community by helping each person achieve optimal health and well-being by providing compassionate, exceptional, and affordable healthcare services, all employees of Genesis Health Care System must be committed to living the Genesis Mission and Genesis values of Compassion, Excellence, Integrity, Team, and Innovation. All employees must regard themselves as an ‘owner’ of Genesis and keep our patients at the center of everything we do *- always.*##

Position Details:

Work Shift:

Day Shift (United States of America)
Scheduled Weekly

Hours:

40

Department:

IT Technical & Support Services## Overview of Position:

The AI Technical Architect will be a key member of our Data Services Team and will be a key influencer in the design and deployment of artificial intelligence and machine learning solutions across our healthcare system. This role, as an individual contributor, is responsible for translating business and clinical challenges into AI-driven opportunities, leveraging enterprise data (including Epic, Workday and Microsoft Fabric) to deliver predictive analytics, automation, and decision-support solutions.

The AI Architect will partner closely with the Program Manager, Data Architects, Engineers, and clinical/business stakeholders to identify use cases, design scalable AI architectures, and operationalize models within secure and compliant environments. The AI Architect will focus on model design, deployment, and operationalization, while collaborating with Data Architects for data sourcing and pipeline integration. The ideal candidate combines deep knowledge of AI/ML frameworks and cloud-based AI services with the ability to guide leaders and end users through the adoption of advanced technologies that improve patient outcomes, operational efficiency, and workforce productivity.
** ESSENTIAL DUTIES*
* ** Technical Skills*
* • Design and deploy scalable, secure AI/ML solutions for healthcare applications.

• Translate business and clinical requirements into AI/ML architecture.

• Leverage Microsoft Azure AI Services (Cognitive Services, Machine Learning Studio, Azure OpenAI) and related tools (Fabric, Data Factory, Synapse) to develop cloud-based solutions.

• Integrate and analyze data from Epic (Clarity, Caboodle) and other clinical/operational sources.

• Collaborate with Enterprise Data Architect to ensure high-quality and compliant data pipelines are aligned with interoperability standards (FHIR, HL7).

• Develop and deploy models using Python, R, Tensor Flow, PyTorch, Scikit-learn, or similar frameworks.

• Implement CI/CD pipelines and MLOps workflows for model deployment, monitoring, and lifecycle management.

• Ensure compliance with HIPAA, PHI, and responsible AI practices (explainability, bias mitigation, transparency).

• Coordinate vendor engagement and contract management through a shared collaboration with the Enterprise Data Architect and/or AI Program Manager.
** Project and Process Management*
* • Individual Contributor (IC) on our Intelligent Automation Team working closely with the Program Manager or Project Managers on AI and automation projects from concept to production, applying Agile methodologies (Scrum, Kanban).

• Define technical scope, objectives, milestones, and deliverables while working with your direct manager who will manage resources and dependencies across IT, clinical, and business teams.

• Work with the Program Manager on iterative sprints for prototyping, validation, and production readiness; conduct demos, participate in retrospectives, and assist with sprint planning.

• Identify technical project risks (e.g., adoption, data quality, compliance) and develop mitigation strategies.

• Establish and maintain best practices for AI/ML development, change management, and operational documentation using a common repository, like Service Now knowledgebase, for documentation to insure transparency and accessibility. Collaboration with the Enterprise Data Architect to…
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