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The Sr. AI Engineer will design, develop and manage internal AI platforms and cloud-native technologies, build generative AI and LLM solutions, and collaborate with technical and business stakeholders to drive productivity and business outcomes. Responsibilities: Delivering excellence**:** Developing, testing and managing cloud-native and 3rd party tooling and AI-on-cloud technologies for internal use — delivered through code, templates and scripts to ensure top-quality experiences for Softchoice employees, with consistency and efficiency Design and architect world-class technical solutions for internal employee and business group use cases, leveraging state-of-the-art cloud technologies and development tools Set and uphold high standards for technical architectures, systems design and operational excellence ","datePosted":"2026-08-16","validThrough":"2026-09-15","hiringOrganization":{"@type":"Organization","name":"Softchoice","logo":"https://media.licdn.com/dms/image/v2/D560BAQGQbdbqMQCLug/company-logo_100_100/company-logo_100_100/0/1719926766198/softchoice_logo?e=2147483647&v=beta&t=07Vfdj43ofze5StgzaiKSY7F7yaySs84kJljMjnR1WU"},"jobLocation":{"@type":"Place","address":"Toronto, ON"},"experienceLevel":"SENIOR","occupationalCategory":"Engineer","url":"https://jobverse.io/jobs/38702631/sr-ai-engineer-at-softchoice-northdak","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":91000,"maxValue":114000,"unitText":"YEAR"}}}},{"@type":"ListItem","position":17,"item":{"@type":"JobPosting","title":"EverCommerce Payments - Customer Success Manager (Remote, US)","description":"EverCommerce is a service commerce platform that provides tailored end-to-end SaaS solutions and embedded payment services through its EverCommerce Payments brand, PaySimple. 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The Engineering Project Manager, Strategic Initiatives supports transformation strategies, organizational governance, and strategic projects within Ford Pro Intelligence and Vehicle Cloud & Mobile Operations. The role manages cross-functional workstreams, tracks initiatives and business planning, improves processes, and supports executive communication and reporting. Responsibilities: Support the development and execution of strategies to achieve the company's goals within Ford Pro Intelligence, commercial connected vehicle solutions, and fleet data operations. Coordinate the implementation of strategic initiatives to optimize business processes and improve performance for commercial customers. 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The Member of Technical Staff, Performance & Capacity will measure fleet utilization and training efficiency, own capacity models and workload planning, and improve data-path and multi-node GPU performance. The role is based in Boston and focuses on turning compute performance and capacity decisions into defensible, measurable outcomes. Responsibilities: Measure the fleet instead of estimating it. Utilization, goodput, and training efficiency, taken on real workloads, so that capacity decisions rest on numbers someone actually observed. Where the platform wastes capacity, you find it and you close it Own the capacity model. Turn a research workload into a defensible node count with stated assumptions and error bars, then defend it when real money is committed against it. What we ask providers for comes out of that model. 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