AI Workflow and Systems Design Lead - Remote

CSAA 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.

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 opportunities for automation or augmentation where relevant.
• Document future-state workflows, operating-model implications, and reusable patterns at the level of detail appropriate for the engagement.
• Adapt the format and depth of work to the complexity, maturity, and needs of each initiative rather than applying a one-size-fits-all approach.

• Serve as a connective design partner between business goals and downstream technology implementation.
• Work closely with business divisions, BRMs, Architecture, Data, Engineering, and Governance teams during discovery and design.
• Surface cross-system requirements, dependencies, design choices, and unresolved decisions early enough to influence architecture and delivery.
• Translate business and experience needs into clear system-of-work requirements without prescribing technical architecture that belongs to Architecture or Engineering.
• Participate in feasibility…