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Civil Structural Engineering

Kingston,WA

467 Civil Structural Engineering jobs in Kingston,WA

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Systems Engineer - Controls Fleet, Data Center Capacity Delivery, Controls Fleet

Amazon Data Services

Seattle, WA 98127

Urgently Hiring
New, Posted 2 hours ago
Field Application Engineer (Power Sales)

Sager Electronics

Seattle, WA 98181

$73,710-$122,200/yr
New, Posted 2 hours ago
Field Application Engineer (Power Sales)

Sager Electronics

Seattle, WA 98177

$73,710-$122,200/yr
Jobcase
Assistant/Associate Professor (Career-Track) Faculty Position in Electrical Engineering

Washington State University

Bremerton, WA 98310

New, Posted 6 hours ago
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Senior Business Development Mgr. - Supply Chain, Strategic Vendor Acceleration (SVA)

Amazon.com Services LLC - A57

Seattle, WA 98127

Recommended
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Business Unit Manager (BUM) - Parts

Jet Parts Engineering LLC

Seattle, WA 98134

$150,000-$185,000/yr
~ 1 hr 6 min OnsiteUrgently Hiring

  • Bachelor's degree or higher from an accredited university or college required
  • Base comp range of $150,000 - $185,000 annually commensurate with experience
  • Minimum of 5 years of total experience, including roles of increasing responsibility
  • Ability to travel 25% to 40%
  • Experience in aviation, aerospace, or a highly engineered manufacturing or distribution environment
  • Experience leading direct reports and/or a cross-functional team
  • Demonstrated P&L;, pricing, or commercial ownership experience
  • Proficient in MS Office (especially Excel) and comfortable working across CRM and business intelligence systems
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New, Posted 1 day ago
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Applied Scientist II, Selling Partner Selection Success

Amazon.com Services LLC

Seattle, WA 98127

Recommended
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Technical Infrastructure Program Manager, Global Project Standards

Amazon

Seattle, WA 98127

New, Posted 12 hours ago
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Senior Product Manager - Tech, AWS Distributed SQL

Amazon Development Center U.S.

Seattle, WA 98127

Recommended
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Principle AI Architect

Weyerhaeuser

Seattle, WA 98164

~ 1 hr 6 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in Computer Science, Engineering, or a related technical discipline.
  • 10+ years of experience designing and delivering technology solutions on edge, cloud, and data platforms.
  • Demonstrated success defining architecture for complex, distributed systems operating at enterprise scale.
  • Deep understanding of modern AI technologies, including machine learning, generative AI, and intelligent agent architectures with one or more major enterprise AI ecosystems such as Microsoft Azure AI, AWS, Google Cloud, OpenAI, Anthropic, Snowflake, Databricks, SAP, or comparable platforms.
  • Experience designing reusable patterns, shared services, developer frameworks, and engineering accelerators that improve enterprise AI delivery.
  • Experience applying AI across one or more domains (the more the better): manufacturing/industrial, commercial (sales, supply chain, logistics), corporate functions (IT, HR, Finance, Legal, Procurement), or geospatial/GIS.
  • Experience implementing AI governance, Responsible AI practices, model lifecycle management, evaluation frameworks, observability, or MLOps.
  • Experience influencing technical direction across the enterprise through technical leadership rather than direct authority.
  • Excellent communication skills with the ability to engage executive, business, and technical audiences.
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