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SAP & Enterprise Integration Architect Location CA-Remote ID 2026-35140 Category Engineering Position Type Full-Time Remote Yes About Kinaxis
About Kinaxis Are you looking to join an innovative, market-leading company where you can truly elevate your career? At Kinaxis we are serious about culture, we are serious about technology, we are serious about…
Build and deploy ML/optimization models in C++/Python to power Kinaxis’s AI-driven supply-chain planning platform, ensuring scalability and correctness for global customers.
Build and optimize a cloud-native, AI-assisted backend system that powers global supply-chain planning for Fortune 500 customers.
Builds and maintains internal tools and infrastructure to improve developer productivity and workflows at a supply-chain software company.
Design and lead enterprise-grade customer-facing platforms (CRM, service, revenue ops) that integrate AI/ML, ensuring scalable, secure solutions aligned with business goals and governance.
Design and lead enterprise-scale solutions for HR, finance, and supply-chain platforms, aligning business needs with secure, scalable architectures across vendors like SAP, Workday, and ServiceNow.
Designs and delivers training programs on Kinaxis’s AI-powered supply-chain planning platform, focusing on supply optimization, constrained balancing, and scenario analysis for customers and internal teams.
Design and implement AI-driven solutions to enhance Kinaxis' supply-chain planning platform, leveraging machine-learning models and cloud infrastructure.
Lead the design of agentic AI systems and knowledge graphs that integrate enterprise planning, warehouse, and inventory platforms with semantic data models.
Design and govern enterprise knowledge graphs and ontologies to power AI-driven supply-chain planning, integrating structured and unstructured data for reasoning and inference.
Build and deploy AI-powered supply-chain solutions for Fortune 500 customers, turning prototypes into reusable platform features while owning end-to-end delivery in fast-moving hybrid teams.
Build and test optimization models in C++ for supply-chain decision-making using commercial solvers and AI-infused tools.
Develop optimization algorithms in C++ to model and solve complex supply-chain planning problems, using commercial solvers and in-memory data servers to deliver fast, accurate decisions for global enterprises.
Lead a team that builds and operates the shared data platform (Databricks, dbt, GCP) and observability foundations that power analytics, AI, and customer-facing data products at a global supply-chain orchestration company.
Develops software solutions leveraging operations research to optimize supply chain and logistics workflows for Kinaxis, a logistics-focused SaaS company.
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