Posted 6 hours ago
لو بتسعى للتطور… دي فرصتك
Principal OR Engineer (Optimization & Decision Intelligence)
Position Details
Location
Maadi, Cairo, Egypt Egypt
Posted Date
March 21, 2026
Employment Type
IT/Software Development
متوسط الراتب
Confidential
Job Description
Makkook.AI -
Company: Makkook.AI –
WebSite: Maadi, Cairo, Egypt
Job Description:
- As a Principal AI Architect, you will define and govern the end-to-end technical architecture of Makkook’s Optimization & Decision Intelligence platform(s), and ensure we can deliver new customer implementations fast (target: ≤ 8 weeks per use case after core platform maturity).
- Core Responsibilities:
- Platform Architecture & Technical Strategy
- Define platform architecture: modular components, data contracts, integration patterns, deployment topology (cloud/on-prem), and security/observability standards.
- Design reusable “platform primitives”: canonical entities (resources/tasks/time/cost), constraint packs, objective templates, scenario manager, and explainability layer.
- Make solver/stack decisions (build vs buy), and establish technical roadmaps with the CTO.
- Optimization & Decision Engine Leadership
- Lead modeling and solution strategy for key families:
- Production planning & scheduling (sequence-dependent setups/changeovers, minimum run lengths, maintenance windows)
- Workforce allocation and shift planning
- Routing, dispatching, and fleet assignment
- Inventory/replenishment and supply chain planning
- Set standards for model formulation, performance, scalability, and stability (runtime budgets, warm starts, decomposition, heuristics/hybrids where needed).
- Build a repeatable benchmarking harness and KPI framework (cost, service, risk, feasibility rate, runtime).
- Feasibility, Diagnostics & Explainability
- Own the approach to infeasibility detection and repair (constraint relaxation strategies, IIS where applicable, actionable diagnostics).
- Ensure decisions are explainable to operations teams (constraints hit, trade-offs, what changed vs previous plan, reason codes).
- Delivery & Engineering Excellence
- Partner with PM/Delivery to define scope, milestones, acceptance criteria, and technical risk management.
- Guide integrations with ERP/WMS/TMS/CMMS/SCADA and production data pipelines.
- Establish OptOps practices: versioning, monitoring, runtime regressions, rollback, and quality gates.
- Technical Leadership
- Mentor AI engineers (including those coming from NLP/CV backgrounds) into OR/Optimization craftsmanship.
- Run architecture reviews, ADRs, and enforce best practices across code, models, and deployments.
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