Oracle Finance with AI

COVET IT INC

Plano (TX)

On-site

USD 140,000 - 190,000

Full time

10 hours ago
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Job summary

COVET IT INC is seeking an experienced Oracle AI & Automation Solution Architect to lead design and delivery of AI-enabled, scalable solutions across Finance, Risk, Tax, Treasury, Procurement, and Corporate Systems. You will partner with business and tech teams to validate ideas with POCs and drive production-ready implementations.

Preferred candidates have 8+ years in architecture, hands-on AI, LangGraph/LangChain, and cloud integrations with Oracle Fusion ERP Cloud, OIC, and Azure; you will

Qualifications

  • 8+ years of experience in solution architecture, software engineering, or enterprise application delivery.
  • 3+ years 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 API-driven, cloud-native application experience.
  • 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.

Responsibilities

  • Architect integrations across Oracle Fusion ERP Cloud, Oracle Integration Cloud (OIC), Microsoft 365, Azure services, ServiceNow, and other enterprise platforms.
  • 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.
  • 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 using 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.

Skills

8+ years experience
AI & automation design
LangGraph / LangChain
LLMs / RAG / agent-based architectures
Python development
Cloud platforms (Azure / OCI / AWS)
Enterprise integration
CI/CD / IaC (Terraform)

Tools

Azure
OCI
AWS
Oracle Fusion ERP Cloud
Oracle Integration Cloud (OIC)
ServiceNow
Microsoft 365 integrations
LangGraph

Job description

Please review the requirement below and let me know if you're interested..

Role: Oracle AI & Automation Solution Architect

Duration : Long-term

Role Overview:

Must have strong Oracle experience.

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.

Key Responsibilities:
  • Architect integrations across Oracle Fusion ERP Cloud, Oracle Integration Cloud (OIC), Microsoft 365, Azure services, ServiceNow, and other enterprise platforms.
  • 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.
  • 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 using 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.
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