Senior Decision Intelligence Engineer (NBA) (AI)

Location: Remote nationwide within the United States; a hybrid arrangement is possible, preferably in Boston, MA. Occasional travel to hirify.global technology hubs or offices may be required.

Salary: $106,900–$147,000 per year, plus eligibility for a bonus incentive plan.

Company

hirify.global is a U.S. healthcare and insurance company serving members through hirify.global insurance services and CenterWell healthcare services.

What you will do

• Design, train, evaluate, and improve reinforcement learning policies for the Next Best Action platform.
• Build and operate production-scale decision intelligence, recommendation, optimization, and simulation systems.
• Develop and instrument distributed ML and data pipelines using Python, Ray RLlib, Databricks, PySpark, Delta Lake, and MLflow.
• Diagnose policy instability, long-horizon credit-assignment issues, and distributional shift across large populations.
• Ensure decision systems comply with clinical eligibility rules and program-specific objectives.
• Collaborate with data and platform engineers across the software development lifecycle.

Requirements

• 5+ years of software engineering or quantitative research experience building and operating large-scale production systems; the posting also separately lists 2+ years of post-graduate experience.
• 2+ years of hands-on production experience with reinforcement learning, operations research, or simulation-driven decision systems.
• Deep knowledge of Markov Decision Processes, Bellman-based value estimation, reward shaping, exploration-exploitation tradeoffs, and constraint formulation.
• Proficiency in Python and experience with PyTorch or TensorFlow, Ray RLlib or equivalent distributed frameworks, Databricks, PySpark, Delta Lake, and MLflow.
• Experience shipping reliable systems that operate under production load rather than only research prototypes.
• Must work remotely from within the United States and maintain a dedicated home workspace with a wired cable or DSL connection meeting at least 25 Mbps download and 10 Mbps upload; satellite and wireless internet are not allowed.

Nice to have

• Experience with multi-agent reinforcement learning, PettingZoo, or multi-agent simulation and coordination.
• Knowledge of linear programming, mixed-integer programming, Lagrangian relaxation, or constraint programming.
• Experience with regulated healthcare, finance, or insurance decision systems requiring safety, auditability, and explainability.
• Experience with Gymnasium, SimPy, AnyLogic, event-driven feedback loops, or OpenTelemetry.

Culture & Benefits

• Remote or hybrid work with typical Monday–Friday business hours and a 40-hour workweek.
• Medical, dental, and vision coverage.
• 401(k) retirement savings plan, paid time off, company and personal holidays, and paid parental and caregiver leave.
• Short- and long-term disability coverage and life insurance.
• A dedicated workspace is required to protect member PHI and HIPAA information.

Hiring process

• Selected applicants complete a 10–15-minute on-demand HireVue assessment.
• Applicants who progress after the assessment continue to subsequent interviews.
• A formal employment offer may require entering an SSN into Workday for duplicate-profile screening.