AI Workflow Redesign Engineer

Tampa General Hospital•Tampa, FL

About The Position

The AI Workflow & Process Design Engineer evaluates and redesigns clinical and operational workflows before AI-enabled solutions are built at Tampa General Hospital. The role maps current-state processes, identifies inefficiencies and failure points, and defines target-state workflows for proposed solutions. The engineer partners with clinical, operational, and AI engineering teams to translate redesigned workflows into solution requirements, helping ensure AI investments are built around sound processes. The role performs duties in accordance with Tampa General Hospital’s mission, vision, and values.

Requirements

Bachelor’s degree in Engineering, Business Administration, Healthcare Administration, or a related field.
Lean Six Sigma Green Belt or higher, or an equivalent process improvement certification.
Three years of experience in process improvement, workflow design, operations or industrial engineering, or business process analysis, including exposure to healthcare or clinical operations.
Proficiency with process mapping methods such as swimlane and value stream mapping, and workflow analysis tools.
Working knowledge of Lean, Six Sigma, or other structured process improvement frameworks.
Ability to lead cross-functional workshops and build consensus among clinical, operational, and technical stakeholders.
Ability to translate process redesign into clear requirements and acceptance criteria for solution teams.
Ability to define and analyze process performance metrics to guide redesign decisions.
Understanding of clinical and administrative workflows, patient flow, and operational constraints in a hospital setting.
Working knowledge of AI and automation capabilities and limitations sufficient to assess workflow readiness.
Skill in identifying training and adoption needs to support redesigned processes.
Strong technical writing skills for process maps, SOPs, and workflow documentation.
Ability to present findings and recommendations clearly to clinical and executive stakeholders.

Responsibilities

Map and document current-state clinical and operational workflows targeted for AI-enabled solutions.
Identify process inefficiencies, bottlenecks, failure points, and redesign opportunities before solution design.
Facilitate workshops with clinical, operational, and IT stakeholders to define target-state workflows.
Define process requirements, success metrics, and acceptance criteria to guide AI solution design and development.
Assess workflow readiness for automation or AI augmentation, including data availability and process standardization.
Redesign processes to remove unnecessary steps, reduce variation, and align with best practices before a solution is built.
Partner with AI engineering and solution teams to translate redesigned workflows into solution requirements.
Develop process maps, standard operating procedures, and workflow documentation to support governance review and change management.
Identify change management and training needs required to support redesigned workflows.
Monitor post-implementation workflow performance and recommend further process refinements.