Application Development & Support Analyst - AI

Brief Job Description:

Short Description for Internal Candidates

Job Summary The Oracle SCM AI Agent Developer will be responsible for designing, implementing, and supporting AI-driven solutions to automate processes, improve operational efficiency, and enhance business decision-making. The role focuses on agentic AI systems, combining large language models (LLMs), enterprise data, APIs, and orchestration logic to deliver secure, scalable, and context-aware solutions. Experience building AI agents with exposure to Oracle Product Development Cloud is considered an added advantage.

Description for Internal Candidates

Brief Job Description:

Vertiv, a $8.0B global organization with nearly 31,000 employees, designs, builds and services critical infrastructure that enables vital applications for data centers, communication networks, and commercial and industrial facilities. We support today’s growing mobile and cloud computing markets with a portfolio of power, thermal and infrastructure management solutions.

Job Summary

The Oracle SCM AI Agent Developer will be responsible for designing, implementing, and supporting AI-driven solutions to automate processes, improve operational efficiency, and enhance business decision-making. The role focuses on agentic AI systems, combining large language models (LLMs), enterprise data, APIs, and orchestration logic to deliver secure, scalable, and context-aware solutions.

Experience building AI agents with exposure to Oracle Product Development Cloud is considered an added advantage.

Responsibilities:

Design, configure, and deploy AI agents capable of reasoning, planning, and executing multi-step tasks

Build prompt orchestration and agent workflows using LLMs

Implement and support Oracle Cloud solutions with AI-driven automation

Integrate AI agents with third-party applications

Customize AI agent behavior using Oracle-native tools, workflows, and APIs

Translate business requirements into scalable, AI-enabled solutions

Optimize, monitor, and troubleshoot AI agent performance

Ensure data security, governance, and compliance in AI implementations

Collaborate with cross-functional teams and business stakeholders

Provide technical documentation, knowledge transfer, and ongoing support

Implement Retrieval-Augmented Generation (RAG) using structured and unstructured enterprise data

Bachelor’s degree in Information Technology, Process Management, or a related field, or equivalent experience

Minimum 8+ years of hands-on experience in Oracle Fusion customizations using REST APIs

Hands-on exposure to Oracle AI Agent Studio

Ability to design Supervisor agents, Sequential agents, and Workflow agents

Practical understanding of enterprise Generative AI and Large Language Models (LLMs)

Experience in prompt engineering for structured enterprise use cases, grounding LLM responses with enterprise data, and implementing RAG patterns

Understanding of hallucination risks and mitigation techniques

Strong understanding of enterprise AI security and governance requirements

Experience implementing role-based permissions, approval checkpoints, and human-in-the-loop controls for AI agents

Knowledge of data privacy, access control, and regulatory considerations in AI-enabled systems

Experience integrating applications with external systems using REST APIs, SOAP web services, etc.

Requirements:

Behavioral & Professional Competencies:

Business Knowledge: Demonstrates strong knowledge of current and emerging policies, practices, trends, technologies, and information related to the business and organization

Communication: Demonstrates excellent written and verbal communication and listening skills

Initiative: Works independently and is highly motivated to take ownership and embrace new challenges

Judgment / Decision Making: Makes sound decisions based on analysis, experience, and good judgment

Managing & Adapting to Change: Readily adapts to shifting priorities and strategic direction within a geographically distributed organization

Professionalism: Exhibits professionalism in all aspects of performance and conduct

Teamwork: Effectively collaborates across functions to achieve shared goals

Results-Oriented: Demonstrates strong accountability and consistently meets or exceeds objectives