Remote AI Systems & Workflow Design Lead

CSAA Insurance Group; Eagle (ID); Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Annual bonus up to 12%

Remote-first culture

Flexible workplace

Job summary

CSAA Insurance Group is seeking an AI Workflow and Systems Design Lead for a remote role. This senior individual contributor collaborates across business and technology to redesign complex workflows and create AI-ready systems of work.

You will lead discovery, define how people and AI work together, and translate business needs into implementation-ready designs. The role requires ~10+ years in systems design, service design, and related fields, with deep expertise in AI-enabled workflow patterns

Qualifications

• Bachelor's degree or equivalent practical experience.
• 10+ years of dynamic experience in systems design, service design, workflow transformation, design strategy, digital transformation, product/service innovation, management consulting, or product management.
• Deep expertise in systems thinking, service design, and workflow design, with demonstrated experience translating sophisticated business problems into coherent future-state systems.
• Demonstrated experience leading sophisticated multi-functional engagements involving multiple business units, systems, collaborators, or technology platforms.
• Strong AI fluency, including practical knowledge of generative AI, agents, automation, retrieval, decision support, and AI-enabled workflow patterns.
• Master's degree in Design Strategy, Human-Computer Interaction, Service Design, Business, Organizational Design, Technology, or a related discipline.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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
• 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 on real project engagements.
• Measure the Impact of Systems Design
• Partner with project teams to define success measures at the beginning of major engagements.
• Help establish baseline measures where practical.
• Help demonstrates the value of workflow reinvention and Systems Design through clear case studies and executive storytelling.

Skills

Systems thinking

Service design

Workflow design

AI fluency

Human–AI interaction

Education

Bachelor's degree or equivalent practical experience

Master's degree in Design Strategy / HCI / Service Design / Business

Job description

CSAA Insurance Group is seeking an AI Workflow and Systems Design Lead for a remote role. This senior individual contributor collaborates across business and technology to redesign complex workflows and create AI-ready systems of work.

You will lead discovery, define how people and AI work together, and translate business needs into implementation-ready designs. The role requires ~10+ years in systems design, service design, and related fields, with deep expertise in AI-enabled workflow patterns