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# TELECOMMUTE Sr Cloud Forward Deployed Engineer

- **Company:** High Bridge Consulting
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Oracle (Applications), Oracle Fusion Middleware, Google Cloud, Multi-Agent Systems, AI Platforms, Virtual Agents, Oracle Cloud Infrastructure, Databricks
- **Published:** September 24, 2026
- **Apply:** https://www.dice.com/job-detail/9e1f53d3-d876-47bd-a3b0-17b44ad3dcc9

## About the Role

* 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 Google Cloud Platform.
 * 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.

Preferred Qualifications

 * Hands-on experience with Databricks Agent Bricks.
 * Experience with LangGraph or comparable agent orchestration frameworks.
 * Experience designing an Agent Factory or reusable multi-agent platform.
 * Experience implementing AI guardrails for security, observability, resiliency, and governance.
 * Experience developing reusable infrastructure/IaC supporting multiple business processes or lines of business.
 * Experience creating Business Requirements Documents (BRDs) or equivalent structured requirements artifacts.
 * Experience with Oracle Cloud ERP / Oracle Fusion Financials.
 * Banking, financial services, or other regulated-industry experience.
 * Experience with Coupa Procure-to-Pay.

Oracle Finance Domain
Experience with one or more of the following Oracle Cloud Financials modules is highly relevant:

 * General Ledger (GL)
 * Fixed Assets
 * Accounts Receivable (AR)
 * Accounts Payable (AP)

## Description

This role sits at the intersection of Oracle Cloud Financials, Agentic AI, and client-facing engineering. You will work directly with senior finance and technology stakeholders to translate complex business processes into AI-enabled solutions, architect multi-agent workflows, build working prototypes, and drive solutions through validation and handoff.
The ideal candidate combines strong Oracle Finance domain knowledge, hands-on Agentic AI engineering experience, and excellent client-facing discovery skills., * Architect and develop a multi-agent AI platform supporting finance discovery, requirements gathering, source-to-target mapping, and Business Requirements Document (BRD) generation.

 * Design and implement agent workflows across finance processes including:
 + Accounts Receivable
 + Accounts Payable
 + Intercompany
 + Lease Accounting
 + Fixed Assets
 + 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 rather than limiting responsibilities to architecture or documentation.
 * 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.