Oracle
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 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. Strong communication skills and being comfortable working with uncertainty. Experiences with building 0-1 products are highly preferred. Proficiency in Python and familiarity with relevant ML/AI libraries. Benefits and Compensation
Oracle offers a comprehensive benefits package which includes medical, dental, and vision insurance, short term disability and long term disability, life insurance and AD&D, supplemental life insurance, health care and dependent care Flexible Spending Accounts, pre-tax commuter and parking benefits, 401(k) Savings and Investment Plan with company match, paid time off, 11 paid holidays, paid sick leave, paid parental leave, adoption assistance, Employee Stock Purchase Plan, financial planning and group legal, and voluntary benefits including auto, homeowner and pet insurance. Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $96,800 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral.
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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 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. Strong communication skills and being comfortable working with uncertainty. Experiences with building 0-1 products are highly preferred. Proficiency in Python and familiarity with relevant ML/AI libraries. Benefits and Compensation
Oracle offers a comprehensive benefits package which includes medical, dental, and vision insurance, short term disability and long term disability, life insurance and AD&D, supplemental life insurance, health care and dependent care Flexible Spending Accounts, pre-tax commuter and parking benefits, 401(k) Savings and Investment Plan with company match, paid time off, 11 paid holidays, paid sick leave, paid parental leave, adoption assistance, Employee Stock Purchase Plan, financial planning and group legal, and voluntary benefits including auto, homeowner and pet insurance. Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $96,800 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral.
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