The Epic Applications Coordinator will bring 4+ years of experience in Epic applications, with a strong background in managing day-to-day operations, client stakeholder relationships, and collaboration with offshore teams. This role demands both technical proficiency and excellent communication skills to ensure the delivery of high-quality support and enhancements in a dynamic healthcare environment. The Epic Application Coordinator will be responsible for collaborating with the Avanade team, the software vendor team, and the client.

Key Responsibilities

• Act as a subject matter expert (SME) for EpicCare workflows and configurations.
• Manage and prioritize daily support and maintenance activities, ensuring timely resolution of incidents and service requests per defined SLAs.
• Serve as a liaison with client stakeholders, ensuring alignment of system capabilities with business needs.
• Lead and coordinate with offshore support teams, ensuring effective communication, task delegation, and performance monitoring.
• Maintain system documentation, including workflows, build specifications, and testing protocols.
• Ensure compliance with HIPAA, data governance, and organizational security policies.
• Participate in regular team meetings, providing updates on ongoing work, potential risks, and resource needs.
• Support the teams working on other non-Epic inpatient clinical applications.

The Epic Applications Coordinator will bring 4+ years of experience in Epic applications, with a strong background in managing day-to-day operations, client stakeholder relationships, and collaboration with offshore teams. This role demands both technical proficiency and excellent communication skills to ensure the delivery of high-quality support and enhancements in a dynamic healthcare environment. The Epic Application Coordinator will be responsible for collaborating with the Avanade team, the software vendor team, and the client.

Key Responsibilities

• Act as a subject matter expert (SME) for EpicCare workflows and configurations.
• Manage and prioritize daily support and maintenance activities, ensuring timely resolution of incidents and service requests per defined SLAs.
• Serve as a liaison with client stakeholders, ensuring alignment of system capabilities with business needs.
• Lead and coordinate with offshore support teams, ensuring effective communication, task delegation, and performance monitoring.
• Maintain system documentation, including workflows, build specifications, and testing protocols.
• Ensure compliance with HIPAA, data governance, and organizational security policies.
• Participate in regular team meetings, providing updates on ongoing work, potential risks, and resource needs.
• Support the teams working on other non-Epic inpatient clinical applications.

Deine Rolle

Du begeisterst dich für die Möglichkeiten von Künstlicher Intelligenz und möchtest die Arbeitswelt von morgen aktiv mitgestalten? Als AI Workplace Advisor unterstützt du unsere Kunden dabei, das Potenzial von Microsoft AI zu erkennen und in echten Business Value zu übersetzen.

Von Microsoft 365 Copilot über Copilot Studio und Power Platform bis hin zu autonomen KI-Agenten: du entwickelst gemeinsam mit unseren Kunden innovative Anwendungsszenarien, begleitest deren Umsetzung und gestaltest die Zukunft des digitalen Arbeitsplatzes.

Dabei musst du nicht jede neue Technologie bereits beherrschen. Entscheidend sind deine Neugier, deine Lernbereitschaft und dein Gespür dafür, wie technologische Innovationen Geschäftsprozesse und Arbeitsweisen verändern können.

Deine Mission

AI Advisory & Strategy

• Berate Fach- und Führungskräfte zu den Einsatzmöglichkeiten von Microsoft Copilot, KI-Agenten und Power Platform.
• Entwickle gemeinsam mit Kunden AI-Strategien, Zielbilder und Use-Case-Roadmaps mit messbarem Business Value.
• Analysiere neue Microsoft-Technologien und übersetze deren Potenzial in konkrete Handlungsempfehlungen.

Solution Innovation & Project Delivery

• Gestalte innovative KI-Anwendungsszenarien, Demos und Proof of Concepts.
• Begleite Copilot- und Agenten-Projekte von der Konzeption bis zur erfolgreichen Einführung und Übergabe in den Betrieb.
• Berücksichtige technische Anforderungen sowie Aspekte rund um Governance, Prozesse und organisatorische Veränderungen.

Stakeholder Management & Collaboration

• Arbeite eng mit IT, Security, Fachbereichen und Adoption-Expert sowie Microsoft und Accenture zusammen.
• Verbinde technische Möglichkeiten mit geschäftlichen Anforderungen und fördere die nachhaltige Nutzung neuer KI-Lösungen.
• Übernimm Verantwortung für Projektplanung, Stakeholder-Kommunikation und die erfolgreiche Umsetzung.

Business Development & Thought Leadership

• Unterstütze Presales-Aktivitäten und die Entwicklung überzeugender Angebote und Kundenpräsentationen.
• Entwickle wiederverwendbare Beratungsansätze und Assets zur Weiterentwicklung unseres AI-Portfolios.

Teile deine Expertise und Projekterfahrungen auf internen und externen Veranstaltungen.

Help shape how enterprise AI runs in the real world. As an AIOps/LLMOps Engineer, you'll build the automation, observability, and operational foundations that move generative AI solutions from promising prototypes to reliable production services on Microsoft Azure and Microsoft Foundry. 

Come Join Us 

You'll work hands-on across AI applications, models, data, cloud infrastructure, and operations. You will partner with architects and engineering teams to create secure, scalable delivery patterns, improve reliability and cost, and continuously raise the quality of AI services. If your experience spans some, but not all, of these areas, we still encourage you to apply. 

What you'll do 

• Build and operate reusable AIOps and LLMOps capabilities for enterprise AI solutions using Microsoft Foundry, Azure Machine Learning, and related Azure services. 

• Automate the lifecycle of models, prompts, agents, retrieval components, datasets, evaluations, and deployment configurations. 

• Create production automation using Python, PowerShell, Bash, C#, TypeScript, APIs, and infrastructure as code. 

• Implement CI/CD, testing, environment promotion, approvals, rollback, versioning, and traceability through Azure DevOps and/or GitHub Actions. 

• Establish observability for AI quality, reliability, performance, cost, safety, and business outcomes using tools such as Azure Monitor, Application Insights, OpenTelemetry, and MLflow. 

• Diagnose production issues and improve service health through alerts, runbooks, incident response, capacity planning, resiliency, and cost optimization. 

• Apply security, identity, data protection, responsible AI, content safety, auditability, and governance controls. 

• Collaborate across AI, data, application, cloud, security, and service management teams to transition solutions into supportable production services.