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.