AI Solution Architect

Role Overview: Lead the design and delivery of AI and automation solutions that solve business challenges across Finance, Risk, Tax, Treasury, Procurement, and Corporate Systems. Partner with business and technology teams to define solution strategies, rapidly validate ideas through POCs, and deliver scalable, production-ready solutions. Must have strong Oracle experience. Key Responsibilities: Design and implement AI solutions leveraging LLMs, RAG, Agentic AI, and workflow automation. Build and deploy multi-agent solutions using LangGraph, including orchestration, state management, memory, routing, and human-in-the-loop workflows. Develop Action Agents that can execute business transactions, update records, generate reports, initiate workflows, and automate operational tasks. Implement RAG solutions using enterprise knowledge repositories, structured business data, documents, APIs, and vector databases. Architect integrations across Oracle Fusion ERP Cloud, Oracle Integration Cloud (OIC), Microsoft 365, Azure services, ServiceNow, and other enterprise platforms. Rapidly develop POCs and prototypes to validate solution options, de-risk delivery, and accelerate architecture and investment decisions. Evaluate technologies, frameworks, and integration patterns to identify the best-fit solution for business needs. Create architecture diagrams, technical designs, and implementation roadmaps for AI and automation initiatives. Establish secure, scalable, and observable architectures with CI/CD, Infrastructure as Code, monitoring, and governance controls. Partner with stakeholders to prioritize use cases, define success metrics, and drive delivery. Mentor engineering teams on AI development, integration patterns, and architecture best practices. Required Qualifications: 8 years of experience in solution architecture, software engineering, or enterprise application delivery. 3 years of experience designing and implementing AI, automation, or intelligent workflow solutions. Hands-on experience with LLMs, RAG, LangGraph, LangChain, vector databases, and agent-based architectures. Strong Python development skills and experience building API-driven, cloud-native applications. Experience with Azure, OCI, AWS, or other enterprise cloud platforms. Strong understanding of enterprise integration, data engineering, security, governance, and operational readiness. Experience implementing CI/CD pipelines, Infrastructure as Code (Terraform), monitoring, logging, and observability frameworks. Strong communication, problem-solving, and stakeholder management skills. Preferred Qualifications: Experience with Oracle Fusion ERP Cloud and Oracle Integration Cloud (OIC). Knowledge of Oracle ATP, ORDS, BICC, Business Events, OCI AI Services, and enterprise integration patterns. Experience with Microsoft Copilot Studio, Azure AI Foundry, Microsoft Graph, and Microsoft 365 extensibility. Familiarity with MCP, enterprise AI governance, and knowledge management platforms. Experience working in large-scale enterprise environments. Understanding of Finance, Tax, Treasury, Procurement, Risk Management, or Claims Management processes.