
Job Overview
Location
Canada
Job Type
Full-time
Category
Data Science
Date Posted
May 16, 2026
Full Job Description
đź“‹ Description
- • Design and own the end-to-end solution architecture for a 12-week hypothesis-driven transformation of a North American supply chain relaunch, covering data ingestion, storage, model services, optimization logic, and user-facing applications.
- • Define and oversee a secure, single-tenant cloud environment in AWS and/or Azure that meets strict requirements for security, access control, auditability, and data isolation.
- • Collaborate with the Data Engineering Lead to shape canonical data schemas, integration patterns, and transformation rules for unifying fragmented historical data sources including freight, order, inventory, and rate card systems.
- • Architect the decision engine that integrates predictive models, business rules, and optimization solvers to produce clear, defensible, and operationally viable recommendations under real-world constraints.
- • Establish non-functional requirements for performance, resilience, monitoring, deployment, rollback, and release readiness to ensure the platform transitions reliably from pilot validation to production use.
- • Translate complex business requirements and operational logic into precise technical specifications, guiding Full Stack Engineers, Data Engineers, Business Analysts, and QA teams on trade-offs, sequencing, and implementation standards.
- • Ensure all technical systems are auditable, deterministic, and traceable to meet regulatory and compliance expectations in highly regulated operational environments.
- • Work within fast-paced, agile delivery cycles focused on rapid value proofing while avoiding technical debt and maintaining architectural integrity.
- • Leverage AI-native workflows including LLM code assistants and agentic engineering tools to accelerate design iterations, improve code quality, and enhance architectural clarity.
- • Integrate with legacy enterprise systems such as ERP, WMS, and CRM platforms in environments where source systems cannot be modified, requiring creative integration and abstraction strategies.
- • Apply systems thinking to connect data pipelines, machine learning components, business logic layers, and operational interfaces into a unified, scalable, and secure solution.
- • Demonstrate domain knowledge of supply chain operations including freight flows, inventory positioning, allocation logic, warehouse constraints, and the downstream financial impact of operational exceptions.
- • Maintain a strong focus on operational sustainability by designing systems that reduce resource needs, improve efficiency, and enhance resilience through optimization.
- • Lead technical cross-functional collaboration to transform a fragmented, legacy operational landscape into a streamlined, auditable, and scalable AI-powered system.
- • Drive the technical blueprint that enables economic optimization and velocity in high-footprint industries including energy, real estate, and logistics.
🎯 Requirements
- • 8+ years of experience in Solutions Architecture, Platform Architecture, or senior software engineering with a proven track record designing secure, production-grade enterprise systems
- • Hands-on experience designing and deploying systems in AWS and/or Azure, including identity management, network segregation, secrets management, and secure environment configuration
- • Strong working knowledge of Python-based services, APIs, PostgreSQL or similar data stores, and modern web application architectures
- • Practical experience integrating with enterprise systems such as ERP, WMS, CRM, or logistics platforms in environments with unchangeable legacy source systems
- • Previous experience working in supply chain, logistics, fulfillment, or ERP-heavy operational environments with understanding of freight flows, inventory allocation, and warehouse constraints
- • Proven ability to design auditable, deterministic, and traceable workflows in regulated environments where technical decisions must be explainable and reviewable
🏖️ Benefits
- • Work from anywhere, forever — fully remote and global team with trust-based time management
- • Immersive, all-expenses-paid company retreats in unique locations to connect, learn, and grow
- • Competitive compensation package including equity, bonuses, and substantial participation in company profits with a clear path to C-Level leadership based on performance
Skills & Technologies
About Futureworks Inc.
Futureworks is a technology company focused on building the next generation of AI-powered tools for creators and developers. Their platform aims to democratize access to advanced AI capabilities, enabling users to build, deploy, and manage AI models more efficiently. They operate in the rapidly evolving artificial intelligence and software development sectors, providing infrastructure and services that accelerate innovation. Futureworks targets a broad audience, from individual developers to larger enterprises, looking to leverage the power of AI in their products and workflows. Their business model centers on providing scalable and accessible AI solutions.
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