AI Architect

Globalchannelmanagement

  • Winchester, Connecticut
  • 30+ days ago

    Highlights

    Duties: Define end-to-end solution architectures for wealth management platforms, including advisor tools, client portals, and operational systems. AI Architect requires: Bachelor's or Master's degree in Computer Science, Engineering, Finance, or related field.

    Numbers & Facts

    LocationWinchester, Connecticut

    Description

    AI Architect requires:

    Bachelor's or Master's degree in Computer Science, Engineering, Finance, or related field

    10+ years of experience in solution or enterprise architecture

    Proven experience in wealth management or financial services domain

    Technical Expertise

    CRM platforms (Salesforce Financial Services Cloud preferred)

    Cloud platforms (Azure preferred; AWS/GCP acceptable)

    API/microservices architecture and integration patterns

    Data platforms (data lake-Databricks, warehouse, real-time streaming)

    AI Technologies – Azure Foundry, Claude, Open AI

    Security and identity frameworks

    Domain Expertise

    Deep understanding of:

    o Wealth advisory lifecycle

    o Retirement lifecycle

    o Investment products (equities, fixed income, mutual funds, annuities)

    • Client on-boarding, servicing, and reporting workflows
    • Experience with AI/GenAI solutions (Copilot, NLP, recommendation engines)
    • Familiarity with advisor workstation modernization and digital workplace tools
    • Knowledge of contact center platforms (e.g., Genesys)
    • Industry certifications (TOGAF, Azure Architect, etc.)

    Duties:

    Define end-to-end solution architectures for wealth management platforms, including advisor tools, client portals, and operational systems.

    Develop architecture blueprints, reference patterns, and roadmaps aligned with enterprise standards.

    Ensure solutions are scalable, resilient, secure, and cloud enabled.

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