Principal Applied Scientist- AI

PLEASE NOTE:

This role will be working in the Redwood City, CA office.

The Oracle Applied AI team is at the forefront of developing cutting-edge AI solutions that push the boundaries of machine learning, LLM applications and AI agents. We work on real-world AI applications, deploying scalable and production-ready solutions across Oracle’s Enterprise customers. If you are passionate about Data, LLM, AI Agents, Retrieval-Augmented Generation (RAG), and Enterprise scale AI, we want you on our team!

About the Team

The Oracle Applied AI team is at the forefront of developing cutting-edge AI solutions that push the boundaries of machine learning, LLM applications and AI agents. We work on real-world AI applications, deploying scalable and production-ready solutions across Oracle’s Enterprise customers. If you are passionate about Data, LLM, AI Agents, Retrieval-Augmented Generation (RAG), and Enterprise scale AI, we want you on our team!

What You’ll Do

• Develop STOA LLM, RAG and agent evaluation solutions and integrate with Oracle GenAI products.
• Develop algorithms and solutions using Reinforcement learning, Adversarial Generation and other data augment techniques for auto-evaluation.
• Design, develop, and deploy AI-driven applications using advanced Machine Learning and Agentic Workflows.
• Implement Retrieval-Augmented Generation (RAG) architectures and AI Agents for intelligent automation and decision-making.
• Work with Oracle Vector Database and other cutting-edge retrieval systems to optimize AI performance
• Optimize ML models and AI workflows for real-world applications, ensuring efficiency and reliability in production environments.
• Collaborate with cross-functional teams to integrate AI solutions into products and services at scale.
• Communicate and share work at both internal and external technical communities.

What We’re Looking For:

• Minimum of 12 years in a related position
• Master’s degree in computer science, statistics, or machine learning. Ph.D. degree in AI/ML or statistics preferred.
• Real-world experiences in productionizing AI/ML systems and AI/ML model development life cycles.
• Strong expertise in Machine Learning/AI, Statistics, and Algorithms
• Strong expertise in large scale distributed or high-performance systems.
• Deep understanding of Agentic Workflows, AI Agents, or RAG architectures.
• Hands-on experience with Crew.ai , Langchain, and similar AI development frameworks is a plus.
• Knowledge of vector databases, particularly Oracle Vector Database (a plus).
• Experience deploying AI applications/services in hyperscalers (AWS, Azure, GCP,OCI) is highly preferred
• Strong problem-solving skills and ability to build AI-powered solutions from concept to deployment.
• String communication skills and being comfortable of working with fuzziness.
• Experiences with building 0-1 products are highly preferred.
• Proficiency in Python and familiarity with relevant ML/AI libraries.

If you’re excited about AI Agents, RAG, and building AI-powered solutions that scale, apply now and be part of our Applied AI team!

• Develop STOA LLM, RAG and agent evaluation solutions and integrate with Oracle GenAI products.
• Develop algorithms and solutions using Reinforcement learning, Adversarial Generation and other data augment techniques for auto-evaluation.
• Design, develop, and deploy AI-driven applications using advanced Machine Learning and Agentic Workflows.
• Implement Retrieval-Augmented Generation (RAG) architectures and AI Agents for intelligent automation and decision-making.
• Work with Oracle Vector Database and other cutting-edge retrieval systems to optimize AI performance
• Optimize ML models and AI workflows for real-world applications, ensuring efficiency and reliability in production environments.
• Collaborate with cross-functional teams to integrate AI solutions into products and services at scale.
• Communicate and share work at both internal and external technical communities.