Enterprise AI Architect

Jade Global
  • San Jose, California
    2 days ago

    Job Description

    Enterprise AI Architect1

    Enterprise AI Architect

    Location: San Jose, CA – Onsite
    Experience: 8+ Years
     

    Role Overview

    We are looking for an experienced Enterprise AI Architect to assess enterprise RTB operations and design AI-first, predictive, and autonomous managed services solutions. The role will work closely with US-based business and IT stakeholders and coordinate with offshore AI teams.

    Key Responsibilities

    • Identify high-value AI/Agentic opportunities across L2C, S2P, Finance, and RTB operations.
    • Analyze ServiceNow/Jira incidents, SOPs, and operational processes to identify automation opportunities.
    • Design AI agents, multi-agent workflows, RAG solutions, and self-healing automation.
    • Architect AI solutions across Oracle Fusion, Salesforce, Zuora, MuleSoft/OIC, and AWS.
    • Establish Human-in-the-Loop controls, security guardrails, and AI governance.
    • Ensure compliance with SOX, ITGC, SoD, PII, and data privacy requirements.
    • Lead onsite AI workshops, POCs, and innovation initiatives with senior stakeholders.
    • Define AI performance metrics, ROI, operational efficiency, and cost optimization.

    Required Skills

    • 8+ years of Enterprise Architecture experience with 3+ years in AI/ML, GenAI, or Intelligent Automation.
    • Strong hands-on experience with Agentic AI / LLM frameworks such as LangChain, LangGraph, CrewAI, or AutoGen.
    • Strong knowledge of LLMs, prompt engineering, RAG, and AI agent architecture.
    • Experience with at least two enterprise platforms: Oracle Fusion, Salesforce, Zuora, or RevPro.
    • Strong understanding of REST/SOAP APIs, MuleSoft, OIC, AWS, and OAuth.
    • Experience with AI governance, security, observability, and enterprise integration.
    • Excellent stakeholder management and communication skills with the ability to work directly with US business and IT leadership.

    Good to Have

    • Experience with Datadog/APM and AI-Ops monitoring.
    • ITIL, DevOps, SOX, or enterprise governance experience.
    • Experience delivering AI POCs and driving enterprise AI adoption.
    • Prior onsite consulting experience in the US.

    Numbers & Facts

    LocationSan Jose, California

    Skills

    • Amazon Web Services (AWS)unmatched
    • Analysis Skillsunmatched
    • Application Programming Interface (API)unmatched
    • Architectural Analysisunmatched
    • Artificial Intelligence (AI)unmatched
    • Artificial Intelligence (AI) Agentsunmatched
    • Atlassian JIRAunmatched
    • Automationunmatched
    • Communication Skillsunmatched
    • Consultingunmatched
    • Cost Controlunmatched
    • DevOpsunmatched
    • Enterprise Architectureunmatched
    • Financial Operationsunmatched
    • ITIL (IT Infrastructure Library)unmatched
    • Maintain Complianceunmatched
    • OAuthunmatched
    • Offshoringunmatched
    • Operational Auditunmatched
    • Operations Processesunmatched
    • Oracle Fusion Middlewareunmatched
    • Performance Metricsunmatched
    • REST (Representational State Transfer)unmatched
    • Return on Investment (ROI)unmatched
    • SOAP (Simple Object Access Protocol)unmatched
    • Salesforce.comunmatched
    • Sarbanes-Oxley Act (SOX)unmatched
    • ServiceNowunmatched
    • Standard Operating Procedures (SOP)unmatched
    • Technical Leadershipunmatched

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