Enable job alerts via email!

REMOTE Principal AI/ML Developer

Oracle

United States

Remote

USD 96,000 - 224,000

Full time

Today
Be an early applicant

Job summary

A leading technology company is seeking a Principal AI Developer to lead the design and development of advanced AI applications, particularly focused on large language models. Candidates should have over 8 years of experience in software and AI development, with strong skills in Python and cloud-based data pipelines. This role offers the flexibility of remote work and involves collaboration with cross-functional teams to foster innovative AI solutions.

Benefits

Medical, dental, and vision insurance
401(k) with company match
Flexible vacation policy
Paid time off and sick leave
Employee Stock Purchase Plan

Qualifications

  • 8+ years in software/AI development.
  • 3+ years focused on LLMs or related deep learning systems.
  • Experience integrating AI into enterprise cloud ecosystems.

Responsibilities

  • Lead the design and development of AI applications.
  • Build secure integrations with enterprise systems.
  • Mentor and support teammates in AI/ML development.

Skills

AI application engineering
MLOps tools
Python and/or Java
NLP
Collaborative skills

Tools

OCI Data Science
MLflow
Kubeflow
Job description
Overview

Principal AI Developer

Location: United States (REMOTE)

About the Role: We’re looking for highly experienced AI Developers to join our team and help shape the future of AI at Oracle. In this role, you’ll lead the design and development of advanced AI applications, particularly those powered by large language models (LLMs) and help integrate them across Oracle’s Fusion ecosystem. You’ll work on cutting-edge problems, set engineering best practices, and collaborate with cross-functional teams to deliver secure, scalable, and responsible AI solutions.

We encourage applicants from all backgrounds and experiences to apply — if you’re passionate about AI and meet most of the qualifications, we want to hear from you.

Responsibilities

LLM Application Engineering

  • Architect and implement scalable applications using LLMs, focusing on prompt engineering, model customization, and performance optimization.
  • Design and orchestrate agent-based solutions (e.g., using LangGraph or similar), including task decomposition, tool invocation, and setting up guardrails for safe operations.
  • Develop effective RAG (retrieval-augmented generation) pipelines with robust chunking, embedding model selection, and vector store optimization.
  • Structure and refine prompts, manage tool/function calling, and evaluate when to use general vs. fine-tuned models based on trade-offs like accuracy, latency, and cost.
  • Build secure, scalable integrations with enterprise systems, using NL2SQL patterns and API connectivity.

AI/ML Engineering

  • Design, train, and optimize machine learning models for practical, real-world use cases.
  • Build end-to-end ML pipelines: data ingestion, feature engineering, model training, validation, and deployment.
  • Work closely with data engineers and developers to embed ML into production systems.
  • Monitor model performance and retrain as needed to maintain quality and relevance.

LLMOps & Platform Engineering

  • Manage versioning for prompts, models, and pipelines; run controlled experiments (A/B tests) and deployments.
  • Implement observability for agent workflows, including tracing, logging, retries, and fallback mechanisms.

Data Engineering & Feature Development

  • Lead data acquisition, transformation, and feature engineering efforts to support reliable training and inference.
  • Ensure clear schema definitions, metadata tracking, and lineage management.

Evaluation, Quality, and Safety

  • Define and maintain rigorous evaluation processes (e.g., precision/recall, hallucination detection, business alignment).
  • Implement and enforce Responsible AI practices, including privacy protection, access controls, and secure data handling.

Conversational UX & Fusion Integration

  • Set standards for conversational UX, including multi-turn dialogues and natural language interfaces.
  • Design AI components that integrate seamlessly into Oracle Fusion applications, promoting automation and user-centric workflows.

Thought Leadership & Collaboration

  • Mentor and support teammates; advocate for best practices in AI/ML development.
  • Collaborate in agile pods and influence architectural and strategic decisions across teams.
  • Evaluate emerging AI technologies and run proof-of-concept experiments to drive innovation
What We’re Looking For
  • Experience: 8+ years in software/AI development, with 3+ years focused on LLMs or related deep learning systems.
  • Technical Skills: Proficiency in Python (and/or Java), cloud-based data pipelines, and MLOps tools (e.g., OCI Data Science, MLflow, Kubeflow).
  • LLM Expertise: Hands-on experience with models such as OpenAI, Anthropic, or open-source LLMs; familiarity with prompt engineering, fine-tuning, and deployment strategies.
  • Cloud & Enterprise Experience: Experience integrating AI into enterprise cloud ecosystems. Oracle Cloud/Fusion experience is a strong plus.
  • NLP & Conversational AI: Deep understanding of NLP, conversational systems, and dialog design.
  • Responsible AI: Proven ability to design AI systems with safety, fairness, and governance in mind.
  • Collaboration: Excellent communication and mentorship skills; thrives in cross-functional, diverse teams.
Why Join Us?
  • Shape the future of AI at Oracle and influence global-scale business applications.
  • Work with a talented, inclusive, and innovative team on impactful AI projects.
  • Contribute to solutions that are immediately deployed across Oracle’s AI offerings.
  • Enjoy the flexibility of working remotely or from a hub, with a focus on work-life balance.
  • Tackle diverse and complex challenges with the support of world-class engineers and scientists.

QualificationsDisclaimer:

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

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.