Enterprise AI Architect

jadeglobal; San Jose (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

JadeGlobal in San Jose, CA is seeking an experienced Enterprise AI Architect to assess RTB operations and design AI-first, predictive, and autonomous managed services solutions. The role collaborates with US business and IT stakeholders and coordinates with offshore AI teams onsite.

Responsibilities include identifying high-value AI opportunities across L2C, S2P, Finance and RTB; designing AI agents and multi-agent workflows; ensuring governance, security, and SOX compliance; and leading AI

Qualifications

• 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.

Responsibilities

• Identify high-value AI/Agentic opportunities across L2C, S2P, Finance, and RTB operations.
• Analyze incidents, SOPs, and 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.

Skills

Enterprise Architecture

AI/ML Experience

GenAI

LLM frameworks

REST/SOAP APIs

Stakeholder Management

Onsite Client Engagement

Tools

LangChain

LangGraph

CrewAI

AutoGen

MuleSoft

OIC

AWS

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.