AI Architect with Oracle Cloud ERP and SFDC CPQ or Zuora experience must

Job Title: Enterprise AI Architect with Oracle Cloud ERP and SFDC CPQ or Zuora experience must

Client Location: San Jose, CA Hybrid (2-3 days)

Key Strategic Responsibilities

• Opportunity Discovery: Evaluate high-ROI AI agent opportunities across Lead-to-Cash (L2C) and Source-to-Pay (S2P) cycles by analyzing ticketing data to isolate recurring incidents and manual bottlenecks.
• Agentic Architecture: Design multi-agent systems and scalable blueprints utilizing the Jade Ensemble AI Platform, Oracle AI Agent Studio, and Agentforce to enable secure, autonomous remediation and smart routing.
• Operational Governance: Serve as the design authority for AI configurations, ensuring strict adherence to ITSOX Compliance, Data Privacy Impact Assessments (DPIAs), and Segregation of Duties (SoD).
• Executive Advisory: Lead on-site innovation sprints and demonstrate live AI/ML proofs-of-concept to client executives (VP, CIO, RevOps) while driving change management and reporting on ROI and token efficiencies.

Required Technical Expertise

• Agentic Frameworks: Hands-on experience designing workflows with Crew.ai, LangChain, LangGraph, or AutoGen, alongside deep knowledge of LLM architectures and RAG tuning.
• Enterprise Platforms: Architectural familiarity with at least two major systems, such as Oracle Cloud ERP (Redwood UX, EPM), Salesforce CPQ/CRM, or Zuora Billing & RevPro.
• Middleware & APIs: Proficiency in mapping data pipelines and secure OAuth authentication across MuleSoft, Oracle Integration Cloud (OIC), and AWS API Gateways.
• Observability & DevOps: Experience with APM tools (e.g., Datadog) for tracing agent execution, coupled with a solid grasp of ITIL, Change Control Boards, and SOX release management.

Professional Qualifications

• Experience: 8+ years of Enterprise Architecture experience, including 3+ years strictly dedicated to AI/ML, NLP, and Intelligent Automation systems.
• Consulting Acumen: Strong on-site consulting capabilities with a "solution-first" mindset, active listening skills, and the ability to translate operational risks into technical requirements.
• Continuous Learning: Dedication to advanced AI upskilling, such as the completion of Jade's Project NEURALIS or equivalent certified agent-building tracks.