Resume and JobRESUME AND JOB
Oracle logo

Senior Research Engineer - Agentic AI

Oracle

Senior Research Engineer - Agentic AI

Oracle logo

Oracle

full-time

Posted: December 15, 2025

Number of Vacancies: 1

Job Description

Company Overview

Oracle Corporation is a global leader in enterprise cloud infrastructure, database technology, and business applications, empowering organizations worldwide to innovate and scale their operations. With a commitment to delivering cutting-edge solutions, Oracle continues to redefine enterprise software through its robust cloud platforms and AI-driven analytics. Join us in shaping the future of technology at one of the world's most admired software companies.

Position Overview

At Oracle Analytics, we are building the next generation of enterprise AI products to enable intelligent data analysis at scale. Leveraging our foundational strengths in data management and enterprise software applications, we are advancing our platforms and applications by deeply embedding cutting-edge agentic AI, generative AI, and innovations in machine learning and optimization. As a Senior Research Engineer - Agentic AI, you will lead the design and implementation of autonomous AI agents that drive proactive insights and decision-making in enterprise environments.

Key Responsibilities

  • Design and develop advanced agentic AI systems capable of autonomous reasoning, planning, and execution in complex enterprise data environments.
  • Research and implement state-of-the-art generative AI models, including large language models (LLMs), for natural language understanding and generation in analytics workflows.
  • Lead the integration of machine learning and optimization techniques to enable scalable, real-time AI-driven decision support systems.
  • Prototype and evaluate novel AI architectures for multi-agent collaboration, tool usage, and long-term memory in enterprise applications.
  • Collaborate with product managers, data scientists, and engineers to define research roadmaps aligned with Oracle's analytics platform goals.
  • Conduct experiments to benchmark and improve agent performance metrics such as task completion rate, reasoning accuracy, and efficiency.
  • Author technical reports, research papers, and patents to advance Oracle's thought leadership in agentic AI.
  • Mentor junior engineers and researchers, fostering a culture of innovation and knowledge sharing within the team.
  • Optimize AI models for deployment on Oracle Cloud Infrastructure, ensuring low-latency inference and high scalability.
  • Stay abreast of emerging trends in AI research, evaluating their applicability to enterprise analytics challenges.

Required Qualifications

  • Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • 5+ years of experience in AI/ML research and development, with a focus on agentic systems or reinforcement learning.
  • Strong proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
  • Demonstrated experience building and deploying LLMs or generative AI models in production environments.
  • Proven track record of research contributions, including publications at top conferences (e.g., NeurIPS, ICML, ICLR) or equivalent industry impact.
  • Expertise in optimization algorithms, probabilistic modeling, or multi-agent systems.
  • Experience with cloud platforms, preferably Oracle Cloud Infrastructure, for scalable AI workloads.
  • Excellent problem-solving skills and ability to translate complex research into practical enterprise solutions.

Preferred Qualifications

  • PhD with thesis or publications specifically on agentic AI, autonomous agents, or AI planning.
  • Experience with enterprise data platforms, SQL/NoSQL databases, or big data technologies like Apache Spark.
  • Familiarity with Oracle Analytics Cloud or similar enterprise analytics tools.
  • Contributions to open-source AI projects or libraries related to agents or LLMs.
  • Background in enterprise software development, including microservices and API design.

What We Offer

  • Competitive salary and performance-based bonuses with equity grants.
  • Comprehensive health, dental, and vision insurance plans.
  • Generous 401(k) matching and retirement savings programs.
  • Flexible time off, including unlimited PTO and paid family leave.
  • Professional development stipend for conferences, courses, and certifications.
  • Remote-friendly work options with access to state-of-the-art Oracle offices.

About the Team

The Agentic AI team at Oracle Analytics is a dynamic group of researchers and engineers passionate about pushing the boundaries of AI for enterprise intelligence. We collaborate closely with Oracle's broader AI and cloud teams to deliver innovative solutions that transform how businesses leverage data. Join a high-impact team where your research directly influences products used by millions of users worldwide.

Locations

  • United States, United States

Salary

Estimated Salary Rangehigh confidence

180,000 - 300,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Agentic AIintermediate
  • Generative AIintermediate
  • Machine Learningintermediate
  • Optimizationintermediate
  • Data Managementintermediate
  • Enterprise Softwareintermediate

Responsibilities

  • Build next generation enterprise AI products
  • Enable intelligent data analysis at scale
  • Leverage data management strengths
  • Advance platforms and applications
  • Embed agentic AI and generative AI
  • Innovate in machine learning and optimization

Benefits

  • general: Health Insurance
  • general: 401(k)
  • general: Stock Options
  • general: Flexible PTO
  • general: Employee Stock Purchase Plan

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Oracle logo

Senior Research Engineer - Agentic AI

Oracle

Senior Research Engineer - Agentic AI

Oracle logo

Oracle

full-time

Posted: December 15, 2025

Number of Vacancies: 1

Job Description

Company Overview

Oracle Corporation is a global leader in enterprise cloud infrastructure, database technology, and business applications, empowering organizations worldwide to innovate and scale their operations. With a commitment to delivering cutting-edge solutions, Oracle continues to redefine enterprise software through its robust cloud platforms and AI-driven analytics. Join us in shaping the future of technology at one of the world's most admired software companies.

Position Overview

At Oracle Analytics, we are building the next generation of enterprise AI products to enable intelligent data analysis at scale. Leveraging our foundational strengths in data management and enterprise software applications, we are advancing our platforms and applications by deeply embedding cutting-edge agentic AI, generative AI, and innovations in machine learning and optimization. As a Senior Research Engineer - Agentic AI, you will lead the design and implementation of autonomous AI agents that drive proactive insights and decision-making in enterprise environments.

Key Responsibilities

  • Design and develop advanced agentic AI systems capable of autonomous reasoning, planning, and execution in complex enterprise data environments.
  • Research and implement state-of-the-art generative AI models, including large language models (LLMs), for natural language understanding and generation in analytics workflows.
  • Lead the integration of machine learning and optimization techniques to enable scalable, real-time AI-driven decision support systems.
  • Prototype and evaluate novel AI architectures for multi-agent collaboration, tool usage, and long-term memory in enterprise applications.
  • Collaborate with product managers, data scientists, and engineers to define research roadmaps aligned with Oracle's analytics platform goals.
  • Conduct experiments to benchmark and improve agent performance metrics such as task completion rate, reasoning accuracy, and efficiency.
  • Author technical reports, research papers, and patents to advance Oracle's thought leadership in agentic AI.
  • Mentor junior engineers and researchers, fostering a culture of innovation and knowledge sharing within the team.
  • Optimize AI models for deployment on Oracle Cloud Infrastructure, ensuring low-latency inference and high scalability.
  • Stay abreast of emerging trends in AI research, evaluating their applicability to enterprise analytics challenges.

Required Qualifications

  • Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • 5+ years of experience in AI/ML research and development, with a focus on agentic systems or reinforcement learning.
  • Strong proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
  • Demonstrated experience building and deploying LLMs or generative AI models in production environments.
  • Proven track record of research contributions, including publications at top conferences (e.g., NeurIPS, ICML, ICLR) or equivalent industry impact.
  • Expertise in optimization algorithms, probabilistic modeling, or multi-agent systems.
  • Experience with cloud platforms, preferably Oracle Cloud Infrastructure, for scalable AI workloads.
  • Excellent problem-solving skills and ability to translate complex research into practical enterprise solutions.

Preferred Qualifications

  • PhD with thesis or publications specifically on agentic AI, autonomous agents, or AI planning.
  • Experience with enterprise data platforms, SQL/NoSQL databases, or big data technologies like Apache Spark.
  • Familiarity with Oracle Analytics Cloud or similar enterprise analytics tools.
  • Contributions to open-source AI projects or libraries related to agents or LLMs.
  • Background in enterprise software development, including microservices and API design.

What We Offer

  • Competitive salary and performance-based bonuses with equity grants.
  • Comprehensive health, dental, and vision insurance plans.
  • Generous 401(k) matching and retirement savings programs.
  • Flexible time off, including unlimited PTO and paid family leave.
  • Professional development stipend for conferences, courses, and certifications.
  • Remote-friendly work options with access to state-of-the-art Oracle offices.

About the Team

The Agentic AI team at Oracle Analytics is a dynamic group of researchers and engineers passionate about pushing the boundaries of AI for enterprise intelligence. We collaborate closely with Oracle's broader AI and cloud teams to deliver innovative solutions that transform how businesses leverage data. Join a high-impact team where your research directly influences products used by millions of users worldwide.

Locations

  • United States, United States

Salary

Estimated Salary Rangehigh confidence

180,000 - 300,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Agentic AIintermediate
  • Generative AIintermediate
  • Machine Learningintermediate
  • Optimizationintermediate
  • Data Managementintermediate
  • Enterprise Softwareintermediate

Responsibilities

  • Build next generation enterprise AI products
  • Enable intelligent data analysis at scale
  • Leverage data management strengths
  • Advance platforms and applications
  • Embed agentic AI and generative AI
  • Innovate in machine learning and optimization

Benefits

  • general: Health Insurance
  • general: 401(k)
  • general: Stock Options
  • general: Flexible PTO
  • general: Employee Stock Purchase Plan

Target Your Resume for "Senior Research Engineer - Agentic AI" , Oracle

Get personalized recommendations to optimize your resume specifically for Senior Research Engineer - Agentic AI. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Senior Research Engineer - Agentic AI" , Oracle

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

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