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Architect Jobs in Bellevue, WA

AI Architect

Katalyst Healthcares & Life Sciences

  • Bellevue, WA
  • 4 days ago

    Highlights

    Network Operations Intelligence: Experience building AI solutions for incident management, root cause analysis (RCA), anomaly detection, predictive maintenance, and operational automation. AI and Agentic AI Architecture: Expertise in LLMs, Retrieval-Augmented Generation (RAG), Knowledge Graphs, Vector Databases, Multi-Agent Systems, and AI orchestration frameworks.

    Numbers & Facts

    LocationBellevue, WA

    Description

    Key Responsibilities:
    • Design AI-powered assistants, copilots, and agents to improve knowledge discovery, troubleshooting, and engineering productivity.
    • Lead the development of AI products, accelerators, and proof-of-concepts (PoCs) addressing business and operational challenges.
    • Build intelligent solutions for incident triage, RCA, predictive insights, automated recommendations, and workflow orchestration.
    • Lead and mentor AI engineers, data scientists, data engineers, software engineers, and domain experts.
    • Integrate structured and unstructured data, telemetry, documentation, and operational knowledge into unified AI platforms.
    • Establish AI architecture, governance, security, observability, and responsible AI standards.
    • Support solution design, bids, proposals, client presentations, executive briefings, and AI transformation initiatives through technical leadership.
    Required Skills and Expertise:
    Telecom Network Expertise:
    • Strong understanding of RAN, Core, Transport, OSS/BSS, Service Assurance, Network Operations, and Engineering domains.
    AI and Agentic AI Architecture:
    • Expertise in LLMs, Retrieval-Augmented Generation (RAG), Knowledge Graphs, Vector Databases, Multi-Agent Systems, and AI orchestration frameworks.
    Network Operations Intelligence:
    • Experience building AI solutions for incident management, root cause analysis (RCA), anomaly detection, predictive maintenance, and operational automation.
    Data and Cloud Architecture:
    • Expertise in Azure, Fabric, Databricks, Snowflake, data engineering, MLOps, LLMOps, APIs, and microservices.
    Knowledge Management Platforms:
    • Experience with semantic search, engineering copilots, enterprise knowledge repositories, and decision-support systems.
    Enterprise Architecture and Governance:
    • Define architecture standards, integration patterns, security controls, and AI governance frameworks.
    Leadership and Stakeholder Management:
    • Lead cross-functional teams, mentor engineers, and drive enterprise-wide AI adoption.
    AI Product Innovation and Pre-Sales:
    • Develop AI accelerators and support solution design, proposals, executive engagements, and client workshops.

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