Principal Optimization Architect — Gurobi & Decision Intelligence

Bristlecone; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Bristlecone seeks a visionary Principal Operations Research Consultant / Optimization Architect to design, develop, and deploy enterprise-scale decision intelligence systems. You will translate complex bottlenecks into scalable frameworks, using Gurobi Optimizer and Python to deliver production-grade solutions.

The role bridges strategic architecture with hands-on mathematical programming and team mentorship, guiding optimization efforts across multiple industries. US-based with travel as needed.

Qualifications

• 10–12+ years of progressive professional experience explicitly dedicated to optimization architecture and applied Operations Research.
• Experience delivering multiple real-world, commercial-grade optimization engines driven by Gurobi Optimizer.
• Proficiency in Python alongside an understanding of math modeling libraries (e.g., Pyomo, PuLP, Gurobipy).
• Bachelor's, Master's, or PhD in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or a deeply quantitative field.
• Leadership track record in managing or mentoring technical teams and conducting advanced math code reviews.

Responsibilities

• Design, formulate, and implement advanced mathematical optimization models (LPs, MILPs, NLPs) for large-scale enterprise constraints.
• Tune, configure, and enhance Gurobi Optimizer to reduce solve times; build clean Python code.
• Apply OR methodologies to automate processes: network design, routing, logistics, scheduling, stochastic optimization, and heuristics.
• Lead and mentor a technical team of analysts and OR specialists; conduct code reviews and set modeling standards.
• Collaborate with engineering to embed optimization engines into enterprise software; build scalable APIs and data pipelines.

Skills

Gurobi Optimizer

Python

Pyomo

PuLP

GurobiPy

Optimization

Operations Research

Leadership

Mentorship

Code reviews

Education

Operations Research / Math degree

Tools

Gurobi Optimizer

Python

Pyomo

PuLP

GurobiPy

Job description

Bristlecone is a supply chain and business analytics advisor, serving customers across a wide range of industries. Rated by Gartner as among the top ten system integrators in the supply chain space, we are uniquely positioned to solve contemporary business problems, with supply chain and analytics focus as our advantage. We have been a trusted partner and advisor to many leading, globally recognized companies such as Applied Materials, Exxon Mobil, Flextronics, LSI Logic, Mahindra, Motorola, Nestle, Palm, Qatar Petroleum, Ranbaxy, Unilever and Whirlpool and many other

About the Role

We are seeking an industry-leading, visionary Principal Operations Research Consultant / Optimization Architect to spearhead the design, development, and deployment of enterprise-scale decision intelligence and optimization systems. In this high-impact role, you will bridge the gap between complex algorithmic theory and real-world production execution.

You will act as the technical authority on mathematical modeling, leveraging deep expertise in Gurobi Optimizer to translate multi-faceted business bottlenecks into highly scalable, automated frameworks. This role is a unique blend of strategic solution architecture, elite hands-on mathematical programming, and technical team mentorship.

Location: - This is US based role, should be open to travel on needed basis

• Optimization Solution Development: Design, formulate, and implement advanced mathematical optimization models (Linear Programming, Mixed-Integer Programming, Non-Linear Programming) tailored to solve complex, large-scale enterprise constraints.
• Solver Mastery & Engineering: Execute advanced tuning, parameter configuration, and structural enhancements using Gurobi Optimizer (mandatory) to drive down solve times and maximize compute efficiency. Develop pristine, maintainable code primarily in Python.
• Operations Research Leadership: Systematically apply deep OR methodologies to automate business processes, including Network Design, Fleet Routing, Logistics, Scheduling, Stochastic Optimization, and custom Heuristics/Metaheuristics.
• Team Leadership & Mentorship: Direct, manage, and scale a high-performing team of data analysts and Operations Research specialists. Conduct rigorous code reviews and establish structural modeling standards.
• Production Deployment & Automation: Collaborate with engineering teams to embed core optimization engines into enterprise software architectures. Construct scalable APIs, microservices, and continuous data pipelines for automated model execution.

Required Qualifications

• Experience: 10–12+ years of progressive professional experience explicitly dedicated to optimization architecture and applied Operations Research.
• Mandatory Technical Depth: Undeniable, extensive hands-on history delivering multiple real-world, commercial-grade optimization engines driven by Gurobi Optimizer.
• Programming Skills: Expert proficiency in Python alongside an understanding of math modeling libraries (e.g., Pyomo, PuLP, Gurobipy).
• Education: Bachelor's, Master's, or PhD in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or a deeply quantitative field.
• Leadership Track Record: Proven background in managing or mentoring technical teams and conducting advanced math code reviews.