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Platform Solution Engineer

Seattle,WA

622 Platform Solution Engineer jobs in Seattle,WA

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Sr Solutions Architect, Alexa+

Amazon.com Services LLC

Seattle, WA 98127

OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

  • 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
  • Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
  • Bachelor's degree in computer science, engineering, mathematics or equivalent
  • Designing and shipping LLM-powered features in production systems, with emphasis on system architecture (latency, streaming, orchestration)
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Sr. PD HW Dev Eng III, Amazon Leo

Amazon Kuiper Manufacturing Enterprises LLC

Redmond, WA 98052

~ 18 min OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

  • Experience in developing functional specifications, design verification plans and functional test procedures
  • 7+ years of experience in consumer electronics products with the last several years as architect or technical lead designing IP66 outdoor rated electronics/telecommunications products.
  • 5+ years of experience with 3D CAD modeling, tooling reviews and drawing release for production tooling.
  • 5+ years of experience with designing for high volume manufacturing and assembly processes (should include multiple tools in several of: plastic injection / thermoforming, casting, sheet metal, machining, various finishing processes)
  • 5+ years of experience designing Printed Circuit Boards (PCBs), flexes and electrical interconnects
  • Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
  • Up to a total of 25% international and domestic travel may be required.
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Combat Engineer - Entry Level

US ARMY

Everett, WA 98208

Requires TravelUrgently HiringEducation AssistanceHealth InsurancePaid Time Off

  • Attend a 14-week paid training program to gain skills and certifications in construction, engineering, demolition, and heavy equipment operations.
  • Advanced certifications require additional full funded training programs.
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software engineer sr - ST; Seattle, WA

Starbucks

Seattle, WA 98127

New, Posted 5 hours ago
Sales Engineer (Power Supply Expert)

Sager Electronics

Seattle, WA 98105

$73,710-$122,200/yr
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Site Risk & Due Diligence Manager, Risk and Resiliency

Amazon Data Services

Seattle, WA 98127

OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • 3+ years of technical infrastructure management experience
  • Knowledge of best practices and emerging technologies, related to infrastructure (i.e. network, data center, hardware, software)
  • Experience with varying scenarios of infrastructure builds
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Manager, AI Engineer

KPMG

Seattle, WA 98115

OnsiteHealth InsuranceRetirement Benefit

  • Minimum five years of recent professional experience in AI/ML, data engineering, or cloud solution engineering, with a minimum two years in a consulting or client-facing leadership role
  • Master's degree from an accredited college or university preferred; minimum of a Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field required
  • Professional certifications in cloud AI/ML platforms (for example: Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus
  • Track record of delivering AI/ML solutions at enterprise scale, including integrations with core business systems with demonstrated ability to lead technical teams, manage deliverables, and build trusted client relationships
  • Hands-on expertise with at least two major cloud AI platforms (Azure AI/ML, AWS Bedrock/SageMaker, or Google Cloud Vertex AI)
  • Proficiency in Python (and/or other relevant languages) with strong experience in API development, microservices, containers, and CI/CD pipelines
  • Familiarity with MLOps frameworks (model monitoring, retraining pipelines, drift detection) and modern data engineering practices
  • Experience in building conversational AI/chatbots, generative AI use cases, or AI-powered automation solutions
  • Knowledge of AI security, data privacy, governance, and ethical AI frameworks
  • Strong problem-solving skills with the ability to translate complex technical concepts for executives
  • Excellent verbal and written communication skills, with experience creating client-facing deliverables
  • Willingness and ability to travel
  • Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity
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Principle AI Architect

Weyerhaeuser

Seattle, WA 98164

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.
SmartExplore AI is experimental.
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New, Posted 18 hours ago
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Technical Infrastructure Program Manager, Global Project Standards

Amazon

Seattle, WA 98127

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Technical Sales Associate Development Program - Controls

Trane Technologies

Bellevue, WA 98008

RemoteEducation AssistancePaid Time OffRetirement Benefit

  • Bachelor's degree in preferred: Information Technology, Information Systems, Engineering Technology, Engineering
  • Must be graduated prior to start date of Graduate Training Program
  • Be a U.S. citizen or have the legal right to work in the U.S. without requiring sponsorship now or in the future
  • Possess a valid driver's license for a minimum of 12 months, ability to provide proof of insurance, and have no major or frequent traffic violations including, but not limited to:
  • DUI in the previous 3 years
  • Hit & Run, License Suspension, Reckless / Careless Driving or multiple smaller infractions or preventable collisions in the previous 3 years
  • Ability to temporarily relocate for 14-week training program
  • Possess a bachelor's degree in preferred: Information Technology, Information Systems, Engineering Technology, Engineering
SmartExplore AI is experimental.
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