Resume and JobRESUME AND JOB
Oracle logo

Architect for Data and AI Engines

Oracle

Architect for Data and AI Engines

Oracle logo

Oracle

full-time

Posted: December 15, 2025

Number of Vacancies: 1

Job Description

Company Overview

Oracle Corporation is a global leader in enterprise cloud applications, database software, and AI-driven solutions, empowering businesses worldwide to innovate and scale. With a commitment to delivering cutting-edge technology, Oracle serves over 430,000 customers across industries, driving digital transformation through its comprehensive cloud infrastructure and intelligent systems.

Position Overview

Shape the future of intelligent data systems as an Architect for Data and AI Engines — where data, AI, and enterprise innovation converge. In this high-impact, remote role based in the United States, you’ll design scalable, intelligent platforms that power next-gen decision-making across a global ecosystem. If you’re driven to architect systems that turn data into intelligence, this is your opportunity to lead the transformation at Oracle.

Key Responsibilities

  • Architect end-to-end data and AI engine platforms, ensuring scalability, reliability, and integration with Oracle Cloud Infrastructure (OCI).
  • Design advanced AI/ML pipelines for real-time data processing, model training, and inference at enterprise scale.
  • Lead the definition of technical roadmaps for data ingestion, storage, transformation, and analytics engines.
  • Collaborate with product managers, data scientists, and engineering teams to translate business requirements into robust architectural designs.
  • Optimize data architectures for performance, cost-efficiency, and compliance with global data privacy standards like GDPR and CCPA.
  • Prototype and validate innovative AI solutions using Oracle's GenAI services, vector databases, and autonomous data management tools.
  • Mentor senior engineers on best practices for distributed systems, microservices, and event-driven architectures.
  • Conduct architectural reviews, risk assessments, and proof-of-concepts for emerging technologies like multimodal AI and federated learning.
  • Drive cross-team initiatives to integrate data and AI engines with Oracle Fusion Applications and industry-specific solutions.
  • Contribute to open-source projects and represent Oracle at industry conferences on data and AI architecture trends.

Required Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical field.
  • 10+ years of experience in software architecture, with at least 5 years focused on data platforms and AI/ML systems.
  • Deep expertise in designing scalable data architectures using technologies like Apache Kafka, Spark, Hadoop, or Oracle Big Data services.
  • Proven track record of building and deploying AI/ML models in production environments with tools like TensorFlow, PyTorch, or Oracle AI services.
  • Strong knowledge of cloud-native architectures, containerization (Kubernetes/Docker), and microservices on platforms like OCI, AWS, or Azure.
  • Experience with SQL/NoSQL databases, vector search (e.g., Oracle Vector Database), and data lakes/warehouses (e.g., Snowflake, BigQuery).
  • Excellent problem-solving skills and ability to lead complex, distributed system designs under tight deadlines.
  • Strong communication skills to articulate technical visions to both technical and non-technical stakeholders.

Preferred Qualifications

  • Experience with Oracle Cloud Infrastructure, Oracle Autonomous Database, or Oracle Generative AI services.
  • Advanced degree (PhD) in AI, Machine Learning, or Data Science, with publications in relevant conferences.
  • Hands-on expertise in real-time analytics, graph databases, or knowledge graphs for AI applications.
  • Contributions to open-source data/AI projects or patents in system architecture.
  • Prior experience architecting solutions for Fortune 500 enterprises in regulated industries like finance or healthcare.

What We Offer

  • Competitive base salary and performance-based bonuses, with total compensation tailored to experience.
  • Comprehensive health, dental, and vision insurance, including family coverage and wellness programs.
  • Generous 401(k) matching and employee stock purchase plan for long-term financial growth.
  • Unlimited PTO policy, flexible remote work, and support for work-life balance.
  • Professional development stipend for certifications, conferences, and advanced training in AI/data technologies.
  • Access to Oracle’s global innovation hubs, mentorship programs, and career growth opportunities.

About the Team

The Data and AI Engines team at Oracle is a dynamic group of architects, data scientists, and engineers pushing the boundaries of intelligent systems. We collaborate closely with Oracle’s product and cloud teams to deliver platforms that enable autonomous enterprises. Join a culture of innovation where your ideas directly impact millions of users worldwide.

Locations

  • United States, United States (Remote)

Salary

Estimated Salary Rangemedium confidence

180,000 - 300,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Data architectureintermediate
  • AI systems designintermediate
  • Scalable platformsintermediate
  • Enterprise innovationintermediate

Responsibilities

  • Design scalable intelligent platforms
  • Architect data and AI engines
  • Power next-gen decision-making systems
  • Lead enterprise innovation transformation
  • Shape intelligent data systems
  • Turn data into intelligence

Benefits

  • general: Health Insurance
  • general: 401(k)
  • general: Stock Options
  • general: Flexible PTO
  • general: Employee Stock Purchase Plan

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Oracle logo

Architect for Data and AI Engines

Oracle

Architect for Data and AI Engines

Oracle logo

Oracle

full-time

Posted: December 15, 2025

Number of Vacancies: 1

Job Description

Company Overview

Oracle Corporation is a global leader in enterprise cloud applications, database software, and AI-driven solutions, empowering businesses worldwide to innovate and scale. With a commitment to delivering cutting-edge technology, Oracle serves over 430,000 customers across industries, driving digital transformation through its comprehensive cloud infrastructure and intelligent systems.

Position Overview

Shape the future of intelligent data systems as an Architect for Data and AI Engines — where data, AI, and enterprise innovation converge. In this high-impact, remote role based in the United States, you’ll design scalable, intelligent platforms that power next-gen decision-making across a global ecosystem. If you’re driven to architect systems that turn data into intelligence, this is your opportunity to lead the transformation at Oracle.

Key Responsibilities

  • Architect end-to-end data and AI engine platforms, ensuring scalability, reliability, and integration with Oracle Cloud Infrastructure (OCI).
  • Design advanced AI/ML pipelines for real-time data processing, model training, and inference at enterprise scale.
  • Lead the definition of technical roadmaps for data ingestion, storage, transformation, and analytics engines.
  • Collaborate with product managers, data scientists, and engineering teams to translate business requirements into robust architectural designs.
  • Optimize data architectures for performance, cost-efficiency, and compliance with global data privacy standards like GDPR and CCPA.
  • Prototype and validate innovative AI solutions using Oracle's GenAI services, vector databases, and autonomous data management tools.
  • Mentor senior engineers on best practices for distributed systems, microservices, and event-driven architectures.
  • Conduct architectural reviews, risk assessments, and proof-of-concepts for emerging technologies like multimodal AI and federated learning.
  • Drive cross-team initiatives to integrate data and AI engines with Oracle Fusion Applications and industry-specific solutions.
  • Contribute to open-source projects and represent Oracle at industry conferences on data and AI architecture trends.

Required Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical field.
  • 10+ years of experience in software architecture, with at least 5 years focused on data platforms and AI/ML systems.
  • Deep expertise in designing scalable data architectures using technologies like Apache Kafka, Spark, Hadoop, or Oracle Big Data services.
  • Proven track record of building and deploying AI/ML models in production environments with tools like TensorFlow, PyTorch, or Oracle AI services.
  • Strong knowledge of cloud-native architectures, containerization (Kubernetes/Docker), and microservices on platforms like OCI, AWS, or Azure.
  • Experience with SQL/NoSQL databases, vector search (e.g., Oracle Vector Database), and data lakes/warehouses (e.g., Snowflake, BigQuery).
  • Excellent problem-solving skills and ability to lead complex, distributed system designs under tight deadlines.
  • Strong communication skills to articulate technical visions to both technical and non-technical stakeholders.

Preferred Qualifications

  • Experience with Oracle Cloud Infrastructure, Oracle Autonomous Database, or Oracle Generative AI services.
  • Advanced degree (PhD) in AI, Machine Learning, or Data Science, with publications in relevant conferences.
  • Hands-on expertise in real-time analytics, graph databases, or knowledge graphs for AI applications.
  • Contributions to open-source data/AI projects or patents in system architecture.
  • Prior experience architecting solutions for Fortune 500 enterprises in regulated industries like finance or healthcare.

What We Offer

  • Competitive base salary and performance-based bonuses, with total compensation tailored to experience.
  • Comprehensive health, dental, and vision insurance, including family coverage and wellness programs.
  • Generous 401(k) matching and employee stock purchase plan for long-term financial growth.
  • Unlimited PTO policy, flexible remote work, and support for work-life balance.
  • Professional development stipend for certifications, conferences, and advanced training in AI/data technologies.
  • Access to Oracle’s global innovation hubs, mentorship programs, and career growth opportunities.

About the Team

The Data and AI Engines team at Oracle is a dynamic group of architects, data scientists, and engineers pushing the boundaries of intelligent systems. We collaborate closely with Oracle’s product and cloud teams to deliver platforms that enable autonomous enterprises. Join a culture of innovation where your ideas directly impact millions of users worldwide.

Locations

  • United States, United States (Remote)

Salary

Estimated Salary Rangemedium confidence

180,000 - 300,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Data architectureintermediate
  • AI systems designintermediate
  • Scalable platformsintermediate
  • Enterprise innovationintermediate

Responsibilities

  • Design scalable intelligent platforms
  • Architect data and AI engines
  • Power next-gen decision-making systems
  • Lead enterprise innovation transformation
  • Shape intelligent data systems
  • Turn data into intelligence

Benefits

  • general: Health Insurance
  • general: 401(k)
  • general: Stock Options
  • general: Flexible PTO
  • general: Employee Stock Purchase Plan

Target Your Resume for "Architect for Data and AI Engines" , Oracle

Get personalized recommendations to optimize your resume specifically for Architect for Data and AI Engines. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Architect for Data and AI Engines" , Oracle

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

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