Note: Fidelity will not provide immigration sponsorship for this position. The RoleFidelity is building a modern, in-house Workforce Management (WFM) platform. You will own and build a constraint-solver foundation for the Contact Center Workforce Management schedule optimization engine leveraging a CP-SAT/OR-Tools engine at enterprise scale and reliability. This role is deeply a hands-on role, you will design, develop, and implement advance optimization models and algorithms to solve complex workforce planning and scheduling problems.
Key Responsibilities - Research, design, and develop optimization models for contact center workforce planning, scheduling and resource allocation.
- Design and implement the schedule optimization engine using OR-Tools/CP-SAT
- Own the constraint model end to end: formalize business rule into a solvable, maintainable model.
- Build the production-grade solver as a service within the WFM platform that meets latency targets for real forecast group volumes
- Define and validate schedule quality metrics (coverage attainment, constraint violations, solve time, solution stability across re-solves) and instrument the service so quality can be monitored in production.
- Build and execute tests and validation of optimization algorithms to deliver performance, scalability, and accuracy
- Collaborate with architects and engineering teams to integrate optimization models into an enterprise-grade optimization engine of the workforce management platform.
- Effectively communicate and present findings, methodologies, and results to engineering and business stakeholders.
- Partner with workforce-planning and real-time-analyst stakeholders to validate that generated schedules are operationally usable.
Required Qualifications - Bachelor's of master's degree in operations research, Mathematics, Computer Science, or a related field.
- 5+ years of experience in applying operations research techniques to real-world problems
- Hands-on production experience with OR-Tools, CP-SAT, or a comparable constraint-programming / mixed-integer-programming solver.
- Strong foundation in linear programming, integer programming, or stochastic optimization.
- Proficiency in Java, Python, or C++.
- Experience with cloud platforms such as AWS, GCP, or Azure.
- Experience working with large datasets and solving large scale optimization problems.
- Direct experience modeling and solving workforce or resource scheduling problems.
- Working knowledge of WFM domain.
- Knowledge of distributed systems and event-driven architecture
Preferred Qualifications - Prior experience building scheduling or optimization capability at a WFM SaaS provider or a large in-house contact center operations team.
- Familiarity with other solver technologies (e.g., Gurobi, CPLEX, OptaPlanner).
- Experience in applying ML, AI, or Data Science
Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
