AI Principal Developer, Product Development, Oracle

Karnataka, India, Hyderabad, Bengaluru
January 13, 2026
Regular

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Job Description

As an AI Principal Developer, this role focuses on leading the design, development, and deployment of scalable LLM-driven and Applied AI solutions within Oracle’s product ecosystem. The position involves architecting agentic workflows, RAG systems, ML pipelines, and responsible AI frameworks while mentoring teams and influencing Oracle’s AI technical strategy at an enterprise scale.

Date Posted: December 17, 202

Expiration Date: NA

Experience: 8+ Years (3+ years in LLMs / Deep Learning)

Job ID: 320337

Role: Individual Contributor (IC4)

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Primary Responsibilities

LLM Application Engineering

  • Architect and implement scalable LLM-powered applications using advanced prompt engineering and model optimization.
  • Design agentic solutions with intent routing and workflow orchestration using frameworks like LangGraph.
  • Build and optimize Retrieval Augmented Generation (RAG) systems including embeddings, vector indexing, and ranking.
  • Develop robust prompting patterns balancing cost, latency, and accuracy.
  • Integrate AI systems with secure microservices, enterprise APIs, and MCP-compatible tools.
  • Implement evaluation datasets, regression testing, and continuous monitoring for quality, cost, and safety.
  • Establish Responsible AI guardrails including PII protection, access control, and policy enforcement.

Machine Learning & Applied AI Science

  • Design, train, deploy, and maintain ML models and end-to-end ML pipelines.
  • Monitor model performance, detect data drift, and manage retraining strategies.
  • Champion best practices in feature engineering, data acquisition, and model governance.
  • Lead AI proof-of-concept initiatives and publish internal best practices.

LLMOps & Platform Engineering

  • Manage versioning for prompts, models, and pipelines with A/B testing and rollout strategies.
  • Instrument tracing, telemetry, and exception handling for agentic workflows.
  • Drive interoperability with Oracle Fusion products and Oracle Cloud Infrastructure.

Evaluation & Quality

  • Develop rigorous evaluation frameworks, KPIs, and benchmarking strategies aligned with business value, safety, and performance.

Conversational UX & Domain Leadership

  • Define standards for multi-turn conversational systems and dialog management.
  • Act as a technical authority, reviewing designs and code while mentoring engineers.
  • Influence technical direction and foster innovation within agile product teams.

Essential Qualifications

  • Bachelor’s or Master’s degree in a quantitative or engineering discipline.
  • 8+ years of experience in software engineering or AI/ML development.
  • Experience having worked with large language models (LLMs), prompt engineering, and building custom model deployment environments for deployment of large-scale AI/ML applications.
  • Experience building Production AI/ML Pipeline(s) in a Cloud Environment.
  • Hands-on or practical experience in MLOps, CI/CD Processes (Continuous Integration / Continuous Delivery), Data Pipeline(s), Model Lifecycle Management.
  • Responsible AI, Privacy, Security, and Governance of Models is a requirement.
  • Excellent leadership, mentoring, and technical communication skills.

Preferred Qualifications

  • Experience with Oracle Cloud Infrastructure (OCI) and Oracle Fusion applications.
  • Hands-on implementation of agentic workflows and RAG architectures.
  • Contributions to AI research, patents, publications, or open-source communities.
  • Experience delivering enterprise-scale conversational AI solutions.

Active participation in AI/ML professional or research forums.

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