Lead Principal Platform Software Engineer

Oracle AI Data Platform (AIDP) is building the foundation for enterprise data analytics machine learning and generative AI workloads. AIDP brings together enterprise data governed data management large-scale data processing AI/ML development and agentic AI capabilities in a unified cloud platform.

We are looking for a Lead Principal Software Engineer to help define and build the next generation of Oracle AI Data Platform Agent Hub.

This is a high-impact IC5 role for a senior engineer who will own the architecture and design of a mission-critical subsystem within the Agent Hub Execution Service. The work is deeply technical highly visible and central to the success of a platform that must deliver reliable scalable and intelligent multi-agent execution at enterprise quality.

In this role you will lead the design and implementation of the core orchestration engine that coordinates multi-agent multi-turn workflows. You will shape the technical direction for capabilities such as LangGraph-based orchestration routing supervision multi-task planning A2A streaming execution dynamic MCP loading and execution skill blending replanning reflection synthesis human-in-the-loop support guardrails LLM configuration and chat history management. Your work will ensure that these components operate together as a cohesive system that produces accurate predictable and reliable results.

This position is ideal for an engineer who thrives on solving complex platform problems driving architectural decisions and translating ambiguous product goals into robust technical execution. You will partner closely with product engineering and platform stakeholders to define the right architecture de-risk delivery and accelerate roadmap execution for a strategic AI initiative.

Key Responsibilities

• Leads task and project initiatives for the design and development of software systems and services. Defines project or design scope; reviews influences and approves scope and design recommendations.

• Acts as a subject matter expert within the organization to develop and guide new software features and enhancements following design specifications ensuring accessibility and develops documents to clarify software design and code.

• Implements highly complex secure software development practices/solutions requiring modern/emerging innovation to prevent security vulnerabilities leveraging automated solutions to augment the manual review process.

• Implements innovative performance optimization and scalability strategies in software design.

• Conducts regular technology research and evaluation for architectural enhancements and translates into decisions and plans that can have a major impact on the organization.

• Collaborates with the security team and leadership teams to establish follow and improve upon development practices and coding standards providing coaching to less experienced team members.

Qualifications

• MSc in Computer Science or related field (or equivalent practical experience).
• 10 years of professional software development experience with significant architecture ownership.
• Proven track record delivering large-scale mission-critical distributed systems in production.
• Hands-on experience with AI agent frameworks and protocols such as LangGraph LangChain Agent2Agent (A2A) AG-UI and Model Context Protocol (MCP)
• Strong understanding of LLM integration model configuration prompt engineering streaming execution conversation history/persistence and context management.
• Experience designing enterprise-grade AI systems with appropriate authentication authorization guardrails security controls observability and operational monitoring.
• Strong understanding of cloud infrastructure containers Kubernetes CI/CD service deployment troubleshooting and production operations.
• Ability to operate effectively in a fast-paced environment balance short-term delivery needs with long-term architectural quality and drive mission-critical initiatives with minimal supervision.
• Strong security mindset and demonstrated ability to influence across teams.
• Excellent communication skills; ability to drive alignment among technical and non-technical stakeholders.