Oracle

Applications Developer 3 - Project Lead

Posted On

Jan. 5, 2026

Location

Hyderabad, Telangana

Experience Level

Professional

Job Type

Permanent

Apply By

July 4, 2026

Job Description

In this key role, you will design and develop next-generation ERP capabilities by leveraging both in-house and external AI platforms. You'll build reusable agents, intelligent connectors, and orchestration workflows—hand-crafting innovative solutions that simplify complex integrations and unlock real business value for our global enterprise customers.

Advanced AI Development: Leverage leading AI tools and frameworks—including LLMs, GenAI platforms, vector databases, orchestration engines, and Retrieval-Augmented Generation (RAG)—to build, train, and deploy intelligent agents, automations, and workflow components.

Agentic AI Studio: Innovate using Oracle's Agentic AI Studio—collaborating on both internal development and production-ready, customer-facing agents that automate, streamline, and optimize ERP integrations and processes.

AI-Enhanced Integration: Design and deliver agent-driven solutions that anticipate, route, and resolve integration challenges—using AI to enable self-healing, adaptive, and context-aware ERP cloud operations.

Continuous AI Platform Improvement: Contribute code, best practices, and architectural guidance to Oracle's internal AI platforms and
integration frameworks, scaling their impact across cloud teams and product lines.

Seamless Enterprise Adoption: Collaborate with product, architecture, and field engineering teams to transition AI-infused features from internal innovation to robust, secure, and compliant in-product solutions for enterprise customers.

Prototyping and Experimentation: Rapidly evaluate and adapt emerging AI/ML tools, open-source libraries, prompt engineering methods, and agent orchestration platforms—driving continuous improvement and cross-team adoption.

Champion Security, Ethics, and Compliance: Implement rigorous data security, privacy, and AI ethics standards within all AI-driven features, ensuring trust and compliance with enterprise regulations.

Required Skills and Qualifications

Bachelor’s or Master’s in Computer Science, AI, Engineering, or related discipline.
5–7 years' enterprise-scale software development experience, with a measurable track record in AI/ML-driven product engineering.
Strong programming skills in Java, or similar languages.
Expert in REST API design, development, delivery, and cloud integrations.
Proven experience in cloud applications architecture, development, and debugging (Oracle or similar SaaS/Cloud platforms).
Hands-on expertise in AI/GenAI, including RAG frameworks, AI agents, large language models, and vector databases/search.
Demonstrated expertise in deploying AI-driven microservices, distributed systems, and APIs—including integration with cloud-native ERP, CRM, or business platforms.
Experience with AI agent frameworks, prompt engineering, vector search/databases, and dynamic workflow automation.
Hands-on with containerization (Kubernetes, Docker), CI/CD, and best-in-class DevOps for AI solutions.
Integrate Oracle ERP Cloud with external third-party systems using REST APIs, web services, microservices, and appropriate middleware.
Design and implement data security frameworks and features for ERP applications, ensuring compliance with enterprise security and privacy best practices.
Develop, optimize, and maintain next-generation microservices and cloud-native applications, utilizing REST APIs, business events, and audit frameworks.
Deep understanding of security, privacy, and responsible AI principles in the enterprise.
Experience in developing batch processing and ETL flows for large-scale enterprise data.
Excellent analytical, communication, and leadership skills.

Preferred Qualifications

Prior experience delivering solutions in Oracle ERP Cloud or related ERP domains.
Certifications in cloud platforms (Oracle, AWS, Azure, etc.).
Experience with Containerization (Docker, Kubernetes), DevOps, and CI/CD pipelines.
Previous contributions to commercial GenAI, LLM-based, or agentic product deployments in large-scale enterprise applications.

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