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About the Role
This role supports an enterprise Oracle Cloud Finance transformation for a global financial services organization, focusing on the intersection of Oracle Cloud Financials, Agentic AI, and client-facing engineering. You will translate complex business processes into AI-enabled solutions, architect multi-agent workflows, build prototypes, and drive solutions through validation and handoff.
Responsibilities
- Architect and develop a multi-agent AI platform supporting finance discovery, requirements gathering, source-to-target mapping, and BRD generation.
- Design and implement agent workflows across finance processes including Accounts Receivable, Accounts Payable, Intercompany, Lease Accounting, Fixed Assets, and Product-Based Postings.
- Lead discovery sessions with finance, accounting, tax, Oracle configuration, and technology stakeholders to capture and translate business requirements into AI-enabled solutions.
- Design human-in-the-loop workflows that appropriately escalate unresolved business and technical decisions to subject-matter experts.
- Develop mapping methodologies that distinguish between straightforward mappings, tactical decisions, and strategic decisions requiring stakeholder approval.
- Architect reconciliation automation for Fixed Assets conversion and data templates, including exception handling and SME escalation.
- Build hands-on prototypes and production components.
- Lead recurring demonstrations and walkthroughs with business and Oracle configuration teams to validate AI-generated requirements, mappings, and documentation.
- Support knowledge transfer and transition of the AI platform and deliverables to the Oracle configuration team.
Requirements
- Strong hands-on experience architecting and delivering Agentic AI or multi-agent AI systems in a production cloud environment.
- Experience with one or more modern AI/cloud platforms such as Databricks, Azure, AWS, or GCP.
- Experience taking an AI solution from problem definition and requirements discovery through architecture, development, and implementation.
- Forward-deployed, embedded, consulting, or client-facing engineering experience where you have worked directly with business stakeholders to translate domain knowledge into working technology solutions.
- Proven ability to lead live discovery and requirements-gathering sessions with senior business stakeholders.
- Strong hands-on engineering experience building prototypes or production AI components.
- Ability to independently make architectural and technical decisions while collaborating with senior technical and business stakeholders.
- Strong communication skills with the ability to bridge business requirements, finance processes, and AI/ML architecture.
Skills
- Agentic AI
- Multi-agent AI
- Oracle Cloud Financials
- Databricks
- Azure
- AWS
- GCP
- Agent Bricks
- LangGraph
- Agent Factory
- IaC
- Oracle Cloud ERP
- Oracle Fusion Financials
- Coupa Procure-to-Pay
- General Ledger (GL)
- Fixed Assets
- Accounts Receivable (AR)
- Accounts Payable (AP)
- Intercompany
- Lease Accounting
Experience Level
- Senior
About the Company
- Global financial services organization.