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3008 Sap Solution Architect jobs in Seattle,WA

New, Posted 1 day ago

SAP MM & Logistics Architect , AWS SAP Team

Amazon

Seattle, WA 98194

New, Posted 9 hours ago

ResumeLibrary

Architect

Jobot

Seattle, WA 98127

$115,000-$135,000/yr

New, Posted 1 hour ago

Senior AI Architect

Weyerhaeuser

Seattle, WA 98164

OnsiteHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in Computer Science, Engineering, or a related field
8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments.
Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure.
Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures.
Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms.
Proficiency in Python and familiarity with SQL, R, or Java.
Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow).
Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation.
Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning.
Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability.
Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams.
Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives.
Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration.