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Customer Solution Architect

Seattle,WA

1814 Customer Solution Architect jobs in Seattle,WA

New, Posted 19 hours ago
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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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Solutions Architect

Insight Global

Seattle, WA 98194

New, Posted 19 hours ago
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Principal Technical Program Manager, Amazon Customer Service

Amazon.com Services LLC

Seattle, WA 98127

OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

  • 7+ years of technical product or program management experience
  • 10+ years of working directly with engineering teams experience
  • 5+ years of software development experience
  • Experience managing programs across cross functional teams, building processes and coordinating release schedules
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New, Posted 1 day ago
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Data Solutions Architect

Insight Global

Bellevue, WA 98005

New, Posted 19 hours ago
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Principal Product Manager - Technical, External Services, AWS, GenAIUX

Amazon Development Center U.S.

Seattle, WA 98127

OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

  • 4+ years of technical experience (software development, ML/AI systems, or other hands-on engineering work)
  • 10+ years of technical product management, program management, or engineering experience, with at least 5 years at a senior/principal level owning portfolio-level strategy
  • Experience delivering large-scale products where you are responsible for the full product lifecycle, from concept through launch
  • Experience building complex software systems that have been successfully delivered to customers
  • Demonstrated experience shipping AI/ML or Generative AI products at scale
  • Hands-on experience building with GenAI tooling — evidence of personal prototyping, prompt engineering, or building functional demos/POCs (not just writing requirements for others to build)
  • Proven ability to operate in high-ambiguity environments — defining both the problem and the solution where neither is well-understood
  • Track record of influencing org-level strategy and driving alignment across multiple teams (engineering, science, design, business)
  • Experience establishing mechanisms and frameworks adopted beyond your immediate team
  • Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent experience)
  • 7+ years of working as a Technical Product Manager experience
  • 5+ years of technical (software development, network development, IT, other related) experience
  • Experience delivering large-scale SaaS, PaaS or LaaS products where you are responsible for the full product lifecycle, from concept through GTM (go to market)
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New, Posted 1 day ago
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Workday HCM Solutions Architect

Indeed

Seattle, WA 98194

New, Posted 1 day ago
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Senior Staff Cloud Architect

ServiceNow

Kirkland, WA 98033

New, Posted 1 day ago
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Senior Solution Engineer - Cloud & AI Data Platform

Microsoft

Redmond, WA 98073

$106,400-$203,600/yr
Flexible Schedule
New, Posted just now
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Neuron Runtime Software Development Engineer , Neuron Runtime

Annapurna Labs (U.S.)

Seattle, WA 98127

OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • 3+ years of non-internship professional software development experience
  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • Experience programming with at least one software programming language
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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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