Oracle

Builds databases, business apps and cloud services

AI Architect

Natural Language Processing & LLMsConfirmed live in the last 24 hours

ContractNo salary listedIn-person

About the Job

Requirements

12–15 years of total experience, including 5+ years in Data Science or AI/ML Engineering roles.
Demonstrated experience leading end-to-end AI/ML solution design and production deployment.
Proven track record in Generative AI, large language models, natural language processing, and AI agent development.
Expertise in Python and familiarity with modern machine-learning and natural-language-processing frameworks, including Hugging Face, LangChain, PyTorch, and TensorFlow.
Experience fine-tuning large language models for domain-specific applications such as Q&A systems, auto-documentation, and predictive insights.
Hands-on experience building, scaling, and optimizing AI systems on Oracle Cloud Infrastructure, with knowledge of hybrid and multi-cloud architectures.
Strong knowledge of machine-learning algorithms, prompt engineering, vector databases, and retrieval-augmented generation pipelines.
Familiarity with MLOps, model governance, and continuous integration and continuous delivery for machine-learning workflows.
Strong communication and stakeholder-management skills to bridge technical and executive teams.

Responsibilities

Architect, build, and deploy production-grade AI/ML models focused on generative AI, large language models, and intelligent agents.
Serve as lead architect across multiple cross-functional teams delivering AI-enabled applications.
Design scalable, cloud-native AI solutions using Oracle Cloud Infrastructure and other multi-cloud platforms.
Mentor teams on solution design, best practices, and delivery excellence for AI projects.
Guide enterprise-wide AI architecture strategy and ensure alignment with data strategy, DevOps, and security best practices.
Engage with C-suite stakeholders to define AI priorities, value propositions, and roadmaps.
Lead solution estimation, technical governance, and program oversight.
Contribute to go-to-market initiatives, including customer-facing demonstrations and proposal development.
Stay current with advances in generative AI, large language model optimization, AI agent architectures, and model integration strategies.
Publish internal whitepapers, present at leadership forums, and help grow the AI practice through coaching and community engagement.

Qualifications & Experience

12–15 years of total experience, with 5+ years in Data Science or AI/ML Engineering roles.
Demonstrated experience leading end-to-end AI/ML solution design and production deployment.
Proven track record in Generative AI, LLMs, NLP, and AI agent development.
Expert in Python and familiar with modern ML/NLP frameworks: HuggingFace, LangChain, PyTorch, TensorFlow, etc.
Experience fine-tuning LLMs for domain-specific applications (e.g., Q&A systems, auto-documentation, predictive insights).
Hands-on experience building, scaling, and optimizing AI systems on OCI, with knowledge of hybrid/multi-cloud architectures.
Strong knowledge of machine learning algorithms, prompt engineering, vector databases, and RAG pipelines.
Familiar with MLOps, model governance, and CI/CD for ML workflows.
Strong communication and stakeholder management skills—able to bridge the gap between technical and executive teams.

Career Level - N/A

Key Responsibilities

Architect, build, and deploy production-grade AI/ML models with a strong focus on GenAI, LLMs, and intelligent agents.
Serve as a lead architect across multiple cross-functional teams delivering AI-enabled applications.
Design scalable, cloud-native AI solutions using Oracle Cloud Infrastructure (OCI) and other multi-cloud platforms.
Mentor teams on solution design, best practices, and delivery excellence for AI projects.
Guide enterprise-wide AI architecture strategy, ensuring alignment with data strategy, DevOps, and security best practices.
Engage with C-suite stakeholders to define AI priorities, value propositions, and roadmaps.
Lead solution estimation, technical governance, and program oversight.
Contribute to GTM initiatives, including customer-facing demos and proposal development.
Stay current with the latest advancements in GenAI, LLM optimization, AI agent architectures, and model integration strategies.
Publish internal whitepapers, present at leadership forums, and help grow the AI practice through coaching and community engagement.

Requirements at a Glance

Experience Level: Expert

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

About the Company

Oracle

Builds databases, business apps and cloud services

Oracle builds databases, business applications, and cloud infrastructure for companies and public-sector organizations. Oracle Database stores and processes business data, while Oracle Cloud Infrastructure provides computing, storage, and networking for applications and AI workloads. Fusion Cloud Applications support finance, human resources, supply chains, and customer service, helping businesses manage everyday operations and reporting. Customers pay for cloud subscriptions and usage, software licenses, support, hardware, and consulting, with deployment options in Oracle's cloud or their own data centers. Oracle was founded in 1977 and is headquartered in Austin, Texas.

Company size: 10,001+
Company stage: IPO
Headquarters: Austin, TX
Founded: 1977

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