AI Workflow and Systems Design Lead - Remote

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Job Title

AI Workflow and Systems Design Lead - Remote

Requisition Number

R8029 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 Information

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.

We are actively hiring for an

AI Workflow and Systems Design Lead - Remote

Your Role

• 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.
• Your Work: Lead AI Workflow Reinvention and Systems-of-Work Design
• 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.

Design Human + AI Ways of Working

• 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.

Create Implementation-Ready Systems Design Artifacts

• 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.

Connect Business Intent to Technology Delivery

• 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 discussions to ensure future-state designs are realistic, executable, and aligned with enterprise standards.
• Support implementation teams in understanding the design intent as work moves into build and delivery.
• Participate in design-assurance checkpoints when appropriate to ensure the implemented solution remains consistent with the intended system of work.

Design for Reuse, Not Just the Current Project

• Begin each engagement by identifying relevant existing enterprise patterns, components, services, agent skills, and other reusable capabilities.
• Look across projects for recurring workflows, decisions, interactions, controls, and human-AI patterns that should be solved once and reused.
• At the end of engagements, ensure useful patterns, methods, requirements, and lessons are collected and contributed back into the enterprise reusable asset ecosystem.
• Help shift teams from project-by-project invention toward design and reuse by default.
• Balance enterprise consistency with appropriate flexibility for different business domains and platforms.

Partner Closely with Business Leaders

• Act as a trusted design and transformation partner to business leaders working on strategic modernization, workflow reinvention, and AI initiatives.
• Help leaders articulate the desired business outcome before jumping to a technology solution.
• Translate business pain points into opportunities for workflow, operating-model, experience, and AI redesign.
• Facilitate tradeoffs across experience, operational efficiency, risk, technical feasibility, and value.
• Help teams visualize and understand future ways of working before investment and implementation decisions are finalized.
• Communicate sophisticated systems-design concepts in simple, business-friendly language.
• Build confidence that Enterprise Systems Design strengthens business ownership rather than taking it away.

Help Build the Enterprise Systems Design Practice

• Partner with the Senior Director to develop and refine CSAA's Enterprise Systems Design methods, standards, templates, and quality bar.
• Help establish repeatable approaches for systems-of-work design, workflow reinvention, human-AI design, and AI workflow decomposition.
• Contribute examples, templates, case studies, and reusable methods based