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Applied Ai Engineer

Seattle,WA

692 Applied Ai Engineer jobs in Seattle,WA

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Software Development Engineer, Ads AI Core Infra (ACI)

Amazon.com Services LLC

Seattle, WA 98127

OnsiteUrgently HiringHealth 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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Principal, Worldwide GTM Specialist - Storage, Data&AI GTM

Amazon

Seattle, WA 98127

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Manager, SAP AI & Agent Governance

KPMG

Seattle, WA 98115

OnsiteHealth InsuranceRetirement Benefit

  • Minimum five years of recent experience in SAP functional consulting, SAP business process transformation, S/4HANA programs, intelligent automation, AI-enabled transformation, enterprise architecture, identity, security, controls, or related technology initiatives
  • Bachelor'sdegree in business, information systems, engineering, technology, or relatedfield preferred; or minimum of a high school diploma or GED required plus sevenyears of relevant SAP implementation experience
  • Strong hands-on understanding of one or more SAP business process areas such as Finance/Controlling, Procure-to-Pay, Order-to-Cash, Supply Chain, Manufacturing, Asset Management, or Human Capital Management, including SAP processes, transactions, master data, workflow, integrations, and business requirements
  • Experience with AI, intelligent automation, SAP BTP, SAP Build, workflow, APIs, integration platforms, copilots, AI agents, or other emerging automation technologies is strongly preferred
  • Understanding of identity and authorization concepts including least privilege, role-based access, delegated authority, segregation of duties, privileged access, identity lifecycle management, and related governance controls
  • Strong ability to translate business process requirements into practical AI, automation, governance, risk, and control solutions; project or team leadership experience within consulting or professional services is preferred
  • Excellent written and verbal communication, facilitation, and presentation skills with the ability to work effectively with senior business and technology leaders
  • Travel could be as high as 80% at times
  • 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 (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
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Neuron Runtime Software Development Engineer , Neuron Runtime

Annapurna Labs (U.S.)

Seattle, WA 98127

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

Amazon Data Services

Seattle, WA 98127

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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.
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Assistant/Associate Professor (Career-Track) Faculty Position in Electrical Engineering

Washington State University

Bremerton, WA 98310

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SENIOR SYSTEMS ENGINEER-SW

McLaughlin Research Corporation

Keyport, WA 98345

$45-$58/hr
~ 1 hr 29 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • A bachelor of science or higher degree in an engineering discipline such as electrical engineering, electronics engineering, mechanical engineering, computer engineering or industrial engineering is desired.
  • Seven or more years of experience is desired in conducting systems engineering and leading technical teams throughout the engineering lifecycle with activities including technical planning, system integration, verification and validation, cost and risk assessment, and supportability and effectiveness analysis for total systems.
  • A master of science degree in an appropriate field may be substituted for two years of experience.
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New, Posted 8 hours ago
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Sr. PMT-ES, Amazon Bedrock

Amazon Development Center U.S.

Seattle, WA 98127

OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • 5+ years of technical product management with internet business experience
  • 5+ years of working as a Technical Product Manager experience
  • 3+ years of technical (software development, network development, IT, other related) experience
  • 7+ years of full product life cycle experience
  • 5+ years of P&L; management and pricing experience
  • 5+ years of creating written docs for development of new products experience
  • 5+ years of enterprise security product experience
  • 5+ years of product management in the cloud computing technology space experience
  • Bachelor's degree in computer science, engineering, math, finance, or economics
  • Experience in taking a product from conception & definition phase through engineering design and taking it to market
  • 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)
SmartExplore AI is experimental.
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New, Posted 1 day ago
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Software Development Engineer, Ads AI Core Infra (ACI)

Amazon.com Services LLC

Seattle, WA 98127

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