Scheduling and Route Optimization Engine Architect

Scheduling And Route Optimization Engine Architect

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 andtravel 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, and support both CAT and non-CAT scheduling scenarios including surge capacity planning.

Scheduling Optimizer Core Focus Area:

• Define the end-to-end design for an optimizer that ingests unscheduled claims within one or more territories.
• Evaluates each handler's open calendar slots.
• Calculates travel times between handler locations and claim addresses.
• Generates optimized schedules automatically.
• Enable scenario-based optimization, e.g., 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 Angular-based web application that manages inspection 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 decision-making.
• Provide guidance on best practices for optimization, scalability, and cloud-native 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, constraint-based, and heuristic optimization approaches.
• Experience designing cloud-native architectures (AWS, Azure, or GCP).
• Hands-on experience with API-driven event-based or microservices architectures.
• Application Platform Skills: Experience with modern web applications, ideally Angular or comparable frameworks.
• Familiarity with calendar systems and integrations (e.g., Outlook/Exchange or similar).
• Experience with mapping and routing services (e.g., Google Maps, HERE Mapbox, or equivalent).

Soft Skills:

• Prior experience in insurance claims field inspections or workforce management is highly desirable.
• Strong analytical and problem-solving skills, especially in high-pressure scenarios like CAT events.
• Ability to translate complex operational challenges into scalable technical solutions.
• Excellent communication skills and ability to work with cross-functional teams.

Nice-to-Have Skills:

• Experience with real-time or near-real-time optimization systems.
• Exposure to AIML-enabled optimization or agent-based models.
• Familiarity with large-scale dispatch systems used in logistics or on-demand delivery platforms.
• Experience designing manager-focused oversight reporting and control interfaces.