NetSuite · 2 hours ago
Master Principal Architect AI Computational Scientist
United States
Full-time
Remote
Senior Level, Lead/Staff
$142K/yr - $232K/yr
10+ years expNetSuite, a part of Oracle, is a leader in cloud technology, focusing on innovative solutions that merge artificial intelligence with cloud infrastructure. The Master Principal Architect AI Computational Scientist will design and implement advanced AI solutions, collaborating with applied scientists and product managers to develop tailored Gen-AI solutions utilizing cutting-edge machine learning technologies.
Cloud ComputingComputerCRMiOSSaaSSoftware
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
NetSuite
NetSuite is cloud computing company dedicated to delivering business applications over the internet.
Founded in 1998Redwood Shores, California, USA
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$157.79MKey Investors
Meritech Capital PartnersTako VenturesStarVest Partners
2016-07-28Acquired
2007-12-20IPO
2007-02-05Secondary Market· $17.87M
Leadership Team
Brian Chess
SVP Technology and AI
E
Eli Johnson
Vice President, Global Sales Productivity
Recent News
crnasia.com
2025-11-27
The Motley Fool
2025-11-18
Company data provided by crunchbase