Enterprise AI Architect

About this role

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.

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