Enterprise AI Architect
Jade Global Open · verified Oct 22, 2026 At a glance
Mid-level AI Engineering role at Jade Global. San Jose · full-time · no salary stated · we estimate $162,369–$300,000.
Jade Global has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Find high-value AI and agent opportunities in L2C, S2P, finance and RTB operations
- Review ServiceNow and Jira incidents, operating procedures and workflows to spot automation opportunities
- Design AI agents, multi-agent workflows, RAG systems and self-repairing automation across the named enterprise platforms
- Set human review controls, security protections and AI governance, while meeting the stated compliance needs
- Run onsite workshops and proofs of concept, then define performance, ROI, efficiency and cost measures
What you bring
- At least eight years in enterprise architecture, including three or more years in AI/ML, GenAI or intelligent automation
- Hands-on work with agentic AI or LLM frameworks, plus knowledge of LLMs, prompt design, RAG and agent architecture
- Experience with at least two of Oracle Fusion, Salesforce, Zuora or RevPro
- Knowledge of APIs, MuleSoft, OIC, AWS and OAuth, alongside experience in AI governance, security, observability and integration
Who this fits
This role suits an enterprise architect who can work directly with US business and IT leaders and coordinate with offshore AI teams. It is based onsite in San Jose, California, and includes onsite workshops and proofs of concept.
From the employer
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.