What are the responsibilities and job description for the AI & Automation Solution Architect | Full Time position at Henry Ford Health - Careers?
GENERAL SUMMARY:
As a key member of the Digital Enablement Hub, Henry Ford Health’s enterprise AI & Automation Center of Excellence, The AI & Automation Solution Architect is responsible for responsible for designing, implementing, and optimizing advanced AI solutions across business domains such as Access and Revenue Cycle, ERP (HR, Finance, Supply Chain), and clinical operations.
This role drives the adoption of AI, machine learning (ML), and automation technologies to deliver transformative business outcomes. The Architect collaborates with cross-functional teams to identify high-impact use cases, develop scalable architectures, and ensure successful deployment and ongoing enhancement of solutions. Reporting to the Automation Program Manager or Director, the Architect champions best practices in governance, model lifecycle management, and ethical AI deployment, in alignment with enterprise standards.
PRINCIPAL DUTIES AND RESPONSIBILITIES:
- Collaborate with business and IT stakeholders to identify, prioritize, and validate automation use cases through process mapping, data analysis, and ROI modeling.
- Develop and design automation solutions and architectures that meet business requirements. Create detailed architectural documents and diagrams to communicate design decisions.
- Lead the design and implementation of AI/ML models for automation, predictive analytics, natural language processing, and intelligent decision support.
- Ensure robust model governance, including versioning, performance monitoring, bias detection, and compliance with regulatory and ethical standards.
- Oversee development teams in building, testing, and deploying RPA solutions using platforms such as Microsoft Power Platform, and UI Path.
- Work with stakeholders to integrate solutions with existing enterprise systems via APIs and secure data exchange, enabling seamless workflows and actionable insights.
- Develop and implement testing strategies to ensure the robustness and reliability of automation solutions. Monitor and troubleshoot automations solutions, making necessary adjustments to optimize performance.
- Serve as a subject matter expert, providing technical guidance and consulting services to internal IT and operational teams.
EDUCATION/EXPERIENCE REQUIRED:
- Bachelor’s Degree required in Computer Science, Data Science, Information Technology, Engineering, or a related field. Master’s Degree preferred.
- Minimum of Five (5) years of experience required in designing and implementing AI/ML and/or automation solutions. Eight (8) years preferred.
- Experience in Healthcare, Revenue Cycle or ERP domains preferred.
- Proven experience with AI/ML platforms (Azure ML, TensorFlow, PyTorch), automation tools (UI Path, Power Platform), and cloud services.
- Strong proficiency in programming languages such as Python, C#, or Java, with experience in API development and integration.
- Strong understanding of software development life cycle (SDLC) and agile methodologies, and MLOps practices.
- Proficiency with Microsoft Word, Excel and PowerPoint, and data visualization tools.
- Ability and willingness to self-motivate, self-manage and maintain flexibility in an ever-changing environment.
CERTIFICATIONS/LICENSURES REQUIRED:
- Relevant certifications in AI/ML (e.g., Microsoft Certified: Azure AI Engineer Associate), RPA, or cloud platforms are highly desirable.