Enterprise AI Architect

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

Job summary

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

You will define AI performance metrics, ROI, and cost optimization, lead onsite AI workshops and POCs, and ensure governance, security, and data privacy. 8+ years of enterprise architecture required.

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 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.

Skills

Enterprise Architecture

Agentic AI

LLMs

Prompt engineering

RAG

Agent architecture

Oracle Fusion

Salesforce

Zuora

RevPro

REST APIs

SOAP APIs

MuleSoft

OIC

AWS

OAuth

AI governance

Security

Observability

Enterprise integration

Stakeholder management

Communication

Datadog

AI-Ops

ITIL

DevOps

SOX

AI POCs

AI adoption

Onsite consulting

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.