Scheduling and Route Optimization Engine Architect

JOB DESCRIPTION:

Description Solution Architecture Optimization Architect a bulk scheduling and route optimization engine capable of assigning hundreds of inspection appointments across multiple claim handlers
Design algorithms that Minimize overall drive time and travel distance
Balance workloads equitably across handlers
Respect handler availability working hours and appointment lengths Incorporate realtime and nearrealtime location data to improve dispatch accuracy and responsiveness during CAT events
Support both CAT and nonCAT scheduling scenarios including surge capacity planning Scheduling Optimizer Core Focus Area
Define the endtoend design for an optimizer that Ingests unscheduled claims within one or more territories
Evaluates each handlers open calendar slots
Calculates travel times between handler locations and claim addresses
Generates optimized schedules automatically
Enable scenariobased optimization eg fastest response vs workload balancing
Ensure the solution is scalable resilient and performant under peak CAT volumes
Application Integration Design
Collaborate on building a new Angularbased web application that managesInspection appointment creation and scheduling
Status tracking and calendar views
Outlook enterprise calendar integration
Manager oversight dashboards and schedule controls
Define integration patterns with
GIS and mapping services
Traveltime and routing APIs
Claims systems and handler profile systems
Ensure clean separation between UI optimization logic and downstream integrations
Stakeholder Collaboration Governance
Work closely with claims business stakeholders product owners and engineering teams to translate operational needs into technical designs
Lead architecture discussions design reviews and technical decisionmaking
Provide guidance on best practices for optimization scalability and cloudnative design

Required Qualifications
Technical Expertise
Proven experience designing scheduling routing or optimization systems preferably in logistics field services or insurance claims
Strong understanding of Route optimization and scheduling algorithms
Geospatial concepts distance drive time proximity
Constraintbased and heuristic optimization approaches
Experience designing cloudnative architectures AWS Azure or GCP
Handson experience with APIdriven eventbased or microservices architectures

Application Platform Skills
Experience with modern web applications ideally Angular or comparable frameworks
Familiarity with calendar systems and integrations eg OutlookExchange or similar
Experience with mapping and routing services eg Google Maps HERE Mapbox or equivalent

Domain Soft Skills
Prior experience in insurance claims field inspections or workforce management is highly desirable
Strong analytical and problemsolving skills especially in highpressure scenarios like CAT events
Ability to translate complex operational challenges into scalable technical solutions
Excellent communication skills and ability to work with crossfunctional teams

NicetoHave Skills
Experience with realtime or nearrealtime optimization systems
Exposure to AIMLenabled optimization or agentbased models
Familiarity with largescale dispatch systems used in logistics or ondemand delivery platforms
Experience designing managerfocused oversight reporting and control interfaces