Oracle · 2 weeks ago
Oracle Cloud Infrastructure (OCI) - Principal Member of Technical Staff/Solutions Architect - Product Development – Gen AI and AI Solutions Engineering
Oracle is a world leader in cloud solutions, and they are seeking an experienced Principal Machine Learning Engineer to design, develop, and deploy customized Generative AI solutions for strategic customers. The role involves building cutting-edge machine learning solutions, collaborating with teams to optimize performance, and ensuring ethical AI practices.
Data GovernanceData ManagementEnterprise SoftwareInformation TechnologySaaSSoftware
Responsibilities
Design, build, and deploy cutting-edge machine learning and generative AI solutions, with a focus on Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and large-scale search
Collaborate with scientists, engineers, and product teams to turn complex problems into scalable, cloud-ready AI solutions for enterprises
Run experiments, explore new algorithms, and push the boundaries of AI to optimize performance, customer experience, and business outcomes
Ensure ethical and responsible AI practices in all solutions
Work directly with key customers and accompany them on their Gen AI journey – understanding their requirements, help them envision and design and build the right solutions and work together with their ML engineering to remove blockers
Design and implement agentic workflows using diverse frameworks, incorporating prompt engineering to optimize performance
You will dive deep into model structure to optimize model performance and scalability
You will build state of art solutions with brand new technologies in this fast-evolving area
You will configure large scale OpenSearch clusters, setting up data ingestion pipelines to get the data into the OpenSearch
You will diagnose, troubleshoot, and resolve issues in AI model training and serving. You may also perform other duties as assigned
Build re-usable solution patterns and reference solutions / showcases that can apply across multiple customers
Be an enthusiastic, self-motivated, and a great collaborator
Be our product evangelist - engage directly with customers and partners, participate and present in external events and conferences, etc
Qualification
Required
Bachelor's or Master's degree in Computer Science or related technical field, with 10+ years of experience in AI, ML, or data-driven solution development
Proven track record designing, building, and deploying scalable AI/ML solutions in production environments
Deep expertise in Large Language Models (LLMs), Generative AI, Agentic solutions, and advanced ML techniques (fine-tuning, prompt engineering, model optimization)
Strong experience with OpenSearch, vector databases, data ingestion pipelines, and large-scale search optimization
Skilled in diagnosing, troubleshooting, and resolving issues in AI model training and serving
Hands-on experience with MCP, NLP, NLU, RAG architectures, Agents, and modern AI frameworks (e.g., LangChain, LangGraph LlamaIndex)
Proficient in Python and shell scripting, with familiarity in deep learning frameworks (PyTorch, TensorFlow, JAX, or Transformers)
Experience with popular model training and serving frameworks like KServe, KubeFlow, Triton etc
Excellent communication skills for translating complex technical concepts into clear proposals, designs, and presentations
Collaborative mindset with experience working closely with product managers, engineers, and customers
Ability to mentor and guide junior data scientists or ML engineers
Experience acting as a technical evangelist, presenting at conferences, customer briefings, or industry events
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.
H1B Sponsorship
Oracle has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1271)
2024 (846)
2023 (995)
2022 (1192)
2021 (985)
2020 (755)
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
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