Oracle · 10 hours ago
Master Principal Architect AI Computational Scientist
United States
Full-time
Remote
Senior Level, Lead/Staff
$142K/yr - $232K/yr
10+ years expOracle is a world leader in cloud solutions, leveraging advanced technologies to address contemporary challenges. They are seeking a Master Principal Architect AI Computational Scientist to contribute to large-scale cloud solutions using machine learning technologies, focusing on the development and deployment of Gen-AI solutions.
Data GovernanceData ManagementEnterprise SoftwareInformation TechnologySaaSSoftware
No H1B
Responsibilities
Doctoral or master’s degree in computer science or equivalent technical field with 10+ years of experience
Able to optimally communicate technical ideas verbally and in writing (technical proposals, design specs, architecture diagrams and presentations)
Demonstrated experience in designing and implementing scalable AI models and solutions for production, relevant professional experience as end-to-end solutions engineer or architect (data engineering, data science and ML engineering is a plus), with evidence of close collaborations with PM and Dev teams
Experience with OpenSearch, Vector databases, PostgreSQL and Kafka Streaming
Practical experience with setting up and finetuning large OpenSearch Clusters
Experience in setting up data ingestion pipelines with OpenSearch
Experience with search algorithms, indexing, optimizing latency and response times
Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like Tree-of-Thoughts
Familiarity with Agents and Agent frameworks and Model Context Protocol (MCP)
Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc
Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences
Ability and passion to mentor and develop junior machine learning engineers
Proficient in Python and shell scripting tools
Qualification
Required
Doctoral or master's degree in computer science or equivalent technical field with 10+ years of experience
Able to optimally communicate technical ideas verbally and in writing (technical proposals, design specs, architecture diagrams and presentations)
Demonstrated experience in designing and implementing scalable AI models and solutions for production, relevant professional experience as end-to-end solutions engineer or architect (data engineering, data science and ML engineering is a plus), with evidence of close collaborations with PM and Dev teams
Experience with OpenSearch, Vector databases, PostgreSQL and Kafka Streaming
Practical experience with setting up and finetuning large OpenSearch Clusters
Experience in setting up data ingestion pipelines with OpenSearch
Experience with search algorithms, indexing, optimizing latency and response times
Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like Tree-of-Thoughts
Familiarity with Agents and Agent frameworks and Model Context Protocol (MCP)
Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc
Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences
Ability and passion to mentor and develop junior machine learning engineers
Proficient in Python and shell scripting tools
Preferred
PhD/Masters in related field with 5+ years relevant experience
Experience with RAG based solutions architecture. Familiarity in OpenSearch and Vector stores as a knowledge store
Knowledge of LLM and experience delivering, Generative AI And Agent models are a significant plus
Familiarity and experience with the latest advancements in computer vision and multimodal modeling is a plus
Experience with semantic search, multi-modal search and conversational search
Experience in working on a public cloud environment, and in-depth knowledge of IaaS/PaaS industry and competitive capabilities. Experience with popular model training and serving frameworks like KServe, KubeFlow, Triton etc
Experience with LLM fine-tuning, especially the latest parameter efficient fine-tuning technologies and multi-task serving technologies
Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers
Experience with deep learning frameworks (such as PyTorch, JAX, or TensorFlow) and deep learning architectures (especially Transformers)
Experience in diagnosing, fixing, and resolving issues in AI model training and serving
Benefits
Medical, dental, and vision insurance, including expert medical opinion
Short term disability and long term disability
Life insurance and AD&D
Supplemental life insurance (Employee/Spouse/Child)
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: 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.
11 paid holidays
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.
Paid parental leave
Adoption assistance
Employee Stock Purchase Plan
Financial planning and group legal
Voluntary benefits including auto, homeowner and pet insurance
Company
Oracle
Oracle is an integrated cloud application and platform services that sells a range of enterprise information technology solutions.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$25.75BKey Investors
Sequoia Capital
2025-09-24Post Ipo Debt· $18B
2025-02-03Post Ipo Debt· $7.75B
1986-03-12IPO
Leadership Team
Esteban Rubens
Healthcare Field CTO
G
Gerard Warrens
Field CTO, Business Strategy and Transformative Technologies
Recent News
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