We are at the forefront of developing cutting-edge AI solutions that push the boundaries of machine learning, LLM applications, and agentic AI. Our team builds real-world AI systems and deploys scalable, production-ready solutions across Oracle’s enterprise customers.

We are seeking a highly experienced engineer to contribute to the design and deployment of advanced AI systems, including LLM-powered agents, Retrieval-Augmented Generation (RAG) pipelines, and structured AI workflows. As part of our growing team, you will evaluate, prototype, and optimize next-generation agentic AI technologies. This role is ideal for individuals passionate about building and delivering AI solutions that are accurate, reliable, and trusted at enterprise scale. You will play a key role in advancing Oracle’s AI strategy—especially in LLMs, Generative AI, and intelligent agent-driven applications.

As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.

We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

AI Applications and Innovation Engineer. We are seeking a highly experienced engineer to contribute to the design and deployment of advanced AI systems, including LLM-powered agents, Retrieval-Augmented Generation (RAG) pipelines, and structured AI workflows.

Disclaimer:

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 $223,400 per annum. May be eligible for bonus and equity.

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 is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

Career Level - IC4

AI & LLM System Development

Design, implement, and deploy AI-driven applications using STOA LLM, Oracle GenAI technologies, and agent evaluation frameworks.
Build and optimize LLM-powered agents for industry-specific workflows.
Implement RAG pipelines, structured outputs, and function/tool calling to enable grounded, traceable, and multi-step reasoning.
Select, version, and optimize foundation models and prompt strategies to meet privacy, latency, cost, and safety objectives.
Implement guardrails, uncertainty handling, human-in-the-loop processes, and evidence-grounded citations.
Adapt LLMs to customer domains using prompt engineering, instruction tuning, preference optimization, and domain-specific data.

Evaluation & Quality Assurance

Evaluate AI methods on industry-relevant datasets to ensure outputs are accurate, reliable, and trustworthy.
Maintain evaluation harnesses, regression tests, and golden datasets to monitor model performance.
Conduct systematic error analysis, bias assessments, red-teaming, and active learning to improve quality and close gaps.
Present insights and findings to internal and external technical audiences.

Data & Platform Engineering

Integrate search and NLP technologies, including semantic search, conversational search, and summarization.
Work with Oracle Vector Database and other retrieval systems to optimize AI performance.
Build and optimize ETL/ELT pipelines and scalable data flows supporting domain adaptation.
Ensure data security, privacy, and compliance with PHI/PII regulations across all AI workflows.

Production & Cloud-Native Operations

Productionize AI services with CI/CD pipelines, containerization, orchestration, and autoscaling.
Instrument traces, metrics, and logs across prompts, retrieval, tools, agents, and model outputs.
Enforce SLAs through canary and blue-green rollouts with safe rollback procedures.
Collaborate with cross-functional teams to scale AI offerings across enterprise environments.
Mentor engineers and foster a culture of engineering excellence.

Software Development & Tooling

Develop and maintain robust software toolkits in Python, Node.js, and Java to support applied scientists in building, testing, and deploying ML models and agent frameworks.
Design and implement cloud-based services and APIs for model execution, orchestration, asynchronous communication, and multimodal workflows.
Produce well-structured sample code and reference implementations, including integrations with LLM APIs, to promote best practices.
Apply deep knowledge of algorithms, data structures, concurrent programming, and distributed systems to build high-performance and maintainable software.

Collaboration & Technical Leadership

Partner closely with applied scientists, platform engineers, and cloud infrastructure teams to gather requirements and deliver frictionless ML workflows.
Produce clear and comprehensive documentation for infrastructure, APIs, designs, troubleshooting, and best practices.
Participate in code reviews, provide mentorship, incorporate feedback, and help shape engineering standards.
Conduct systematic error analysis, bias assessments, red-teaming exercises, and active learning to continuously improve quality and close gaps.
Stay current with emerging trends in AI infrastructure, agent frameworks, HPC systems, and cloud-native technologies; evaluate and integrate them where appropriate.

Qualifications

Minimum of 12 years of experience in software engineering or AI/ML system development.
Proven expertise in agentic workflows, LLMOps, RAG architectures, or intelligent automation.
Strong experience with distributed, high-performance, or cloud-native systems.
Proficiency in Python and Node.js and familiarity with modern ML/AI libraries.
Experience with vector databases (Oracle Vector Database preferred).
Experience deploying AI applications/services on AWS, Azure, GCP, or OCI.
Demonstrated experience in data collection, annotation, evaluation pipelines, and systematic AI model validation.
Experience building 0→1 products in fast-paced, ambiguous environments.
Leadership experience mentoring senior and early-career engineers or scientists.
Strong communication, problem-solving, and collaboration skills.
Commitment to staying current with advancements in LLMs, Generative AI, and cloud-native AI/ML technologies.

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