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Ai Full Stack Engineer Manager

Seattle,WA

1304 Ai Full Stack Engineer Manager jobs in Seattle,WA

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Software Development Engineer II, Building Connectivity Engineering

Amazon Data Services

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
  • 1+ years of software development engineer or related occupational experience
  • 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
  • 1+ years of Object Oriented Design experience
  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
  • Experience programming with at least one software programming language
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Senior Full Stack Software Engineer, Digital Experience

Everpure

Bellevue, WA 98004

~ 18 min Onsite

  • 6+ years of professional experience designing, implementing and testing various product components
  • 1+ year(s) of experience in a leadership role driving projects from requirements to release, including directing other engineers
  • Experience using AI to generate production quality code and familiarity with current AI development tools
  • 6+ years combined professional experience in Java, Javascript, Python, or equivalent.
  • Knowledge of AWS, Kubernetes, networking infrastructure.
  • We are primarily an in-office environment and therefore, you will be expected to work from the Bellevue office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.
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Full Stack Java Engineer - ONSITE

NTT DATA Americas

Seattle, WA 98194

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Neuron Runtime Software Development Engineer , Neuron Runtime

Annapurna Labs (U.S.)

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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Software Dev Engineer, AWS Hardware Engineering

Amazon Development Center U.S.

Seattle, WA 98127

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Software Development Engineer, Amazon Leo GBO Engineering

Amazon Kuiper Commercial Services LLC

Bellevue, WA 98009

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Software Development Engineer, AWS Hardware Engineering

Amazon.com LLC

Seattle, WA 98127

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Sr. Technical Program Manager, Amazon Customer Service

Amazon.com Services LLC

Seattle, WA 98127

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Software Development Engineer II, Building Connectivity Engineering

Amazon Data Services

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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