Sr. Principal Applied Scientist- AI

** Job Description*
* ** 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 We're Looking For:

*
* + Minimal 10 years of related experience

+ Master's degree in computer science, statistics, or machine learning. Ph.D. degree in AI/ML or statistics preferred.

+ Real-world experiences in product ionizing 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.

+ Deep understanding and hands on experience on building knowledge graphs, ontologies, and semantic layers.

+ 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!

** Responsibilities*
* What You'll Do

+ Develop STOA agent  
** context layers, semantic and knowledge foundations
** to enable enterprise level AI agent reasoning qualities.

+ 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.

Disclaimer:

** Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.*
* ** Range and benefit information provided in this posting are specific to the stated locations only*
* US:
Hiring Range in USD from: $122,800 to $306,400 per annum. May be eligible for bonus, equity, and compensation deferral.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.

Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:

1.
Medical, dental, and vision insurance, including expert medical opinion

2.
Short term disability and long term disability

3.
Life insurance and AD&D

4.
Supplemental life insurance (Employee/Spouse/Child)

5.
Health care and dependent care Flexible Spending Accounts

6.
Pre-tax commuter and parking benefits

7.
401(k) Savings and Investment Plan with company match

8.
Paid time off:
Flexible Vacation…