AI Workflow and Systems Design Lead - Remote

Requisition NumberR
8029 AI Workflow and Systems Design Lead
- Remote (Open)

Location Arizona
- Home Teleworkers

Additional Locations Alabama
- Home Teleworkers, Alabama
- Home Teleworkers, Arkansas
- Home Teleworkers, California
- Home Teleworkers, Colorado
- Home Teleworkers, Connecticut
- Home Teleworkers, Delaware
- Home Teleworker, District of Columbia
- Home Teleworkers, Florida
- Home Teleworkers, Georgia
- Home Teleworkers, Idaho
- Home Teleworkers, Illinois
- Home Teleworkers, Indiana
- Home Teleworkers, Iowa
- Home Teleworkers, Kansas
- Home Teleworker, Kentucky
- Home Teleworkers, Louisiana
- Home Teleworkers, Maine Home Teleworkers, Maryland
- Home Teleworkers, Massachusetts
- Home Teleworkers, Michigan
- Home Teleworkers, Minnesota
- Home Teleworkers, Mississippi
- Home Teleworker, Missouri
- Home Teleworker, Montana
- Home Teleworkers {+ 21 more}

Job InformationCSAA Insurance Group (CSAA IG), a AAA insurer, is one of the leading personal lines property and casualty insurance groups in the United States. Here, every employee shapes our mission. We build innovative, human-centered solutions that help AAA members prevent, prepare for, and recover from life's uncertainties. You will join a collaborative, inclusive culture where your strengths have room to grow and your ideas can drive real impact.

Step into a role where you can contribute to our shared success through meaningful work.

We are actively hiring for an

AI Workflow and Systems Design Lead
- Remote

The AI Workflow & Systems Designer is a senior individual contributor who partners across business and technology to redesign complex workflows and create AI-ready systems of work. The role leads discovery, defines how people and AI work together, translates business needs into implementation-ready designs, and helps build repeatable Enterprise Systems Design practices.

Partner directly with business leaders and multi-functional teams to understand strategic goals, pain points, customer or employee needs, and opportunities for workflow reinvention. Lead current-state assessment and lead future-state design for sophisticated workflows spanning multiple teams, applications, channels, data sources, decisions, and controls. Design end-to-end systems of work that connect front-stage experiences with the backstage people, processes, technology, data, decisions, controls, AI agents, and support capabilities required to deliver the outcome.

Move teams beyond application-level optimization by identifying how the complete outcome must work across organizational and system boundaries. Facilitate workshops and working sessions that move multi-functional teams from ambiguity to aligned future-state decisions. Translate sophisticated workflows into clear, visual, implementation-ready design artifacts.

Identify where AI can create meaningful value within a workflow through automation, augmentation, recommendations, decision support, orchestration, or autonomous action. Decompose workflows into the elements needed for AI design, including tasks, decisions, required context, data and knowledge, tools and actions, business rules and controls, and exceptions and critical issue paths. Define the appropriate division of work between employees, customers, partners, AI agents, automation, and traditional systems.

Design human-in-the-loop approaches that preserve appropriate judgment, accountability, oversight, and trust. Define intervention triggers, confidence thresholds, approval paths, critical issue logic, exception handling, overrides, feedback loops, and explain-ability requirements. Ensure AI-enabled workflow designs reflect both business value and operational realities rather than applying AI for its own sake.

Lead the development of systems design outputs that make sophisticated work visible, align multi-functional teams, and enable confident downstream decisions. Translate business outcomes and future-state concepts into clear, actionable representations of how work should operate across people, AI, processes, decisions, data, controls, and technology. Surface key cross-system requirements, dependencies, ownership questions, handoffs, risks, and unresolved decisions early enough to influence architecture and delivery.

Clarify human and AI roles, decision points, exceptions, controls, and…