Enterprise AI Architect

Enterprise AI ArchitectLocation: San Jose, CA – OnsiteExperience: 8+ YearsRole OverviewWe 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 ResponsibilitiesIdentify 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 Skills8+ 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 HaveExperience 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. #J-18808-Ljbffr