Enterprise AI Architect
Summary
Design AI-first, predictive, and autonomous managed services solutions for enterprise operations using LLM frameworks, RAG, and multi-agent workflows across Oracle Fusion, Salesforce, Zuora, AWS, and MuleSoft.
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.