Architect for Data and AI Engines at Oracle Risk Management Services

Redwood City, California, United States -

Full Time

Start Date

Immediate

Expiry Date

27 Feb, 26

Salary

0.0

Posted On

29 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Management, AI Architecture, Software Development, Data Engineering, MLOps, Data Modeling, Distributed Systems, Performance Optimization, Communication, Leadership, Collaboration, Vector Databases, Agentic AI Frameworks, Ethical AI Design, Data Privacy, Open Source Contributions

Industry

IT Services and IT Consulting

Description

Design, develop, troubleshoot and debug software programs for databases, applications, tools, networks etc. AI and Data Management Architect Team: AI & Data Platform Engineering Summary: Are you ready to shape the future of intelligent data systems? We’re seeking an AI and Data Management Architect to design and lead the next generation of scalable, intelligent data management and applied AI platforms. This is a high-impact role at the intersection of AI, data engineering, and enterprise architecture, where your ideas will directly influence how data and intelligence converge across our global ecosystem. In this role, you’ll architect cutting-edge systems that blend Vector Database technologies, agent frameworks, knowledge assistants, and NL2SQL solutions to deliver seamless, AI-powered data experiences. You’ll define technical strategy, craft architectural roadmaps, and guide cross-functional teams to bring bold, intelligent, and performant systems to life. What You’ll Do Lead the architecture and design of enterprise-scale AI and data management platforms. Develop architectural roadmaps and set the technical direction for intelligent data systems. Drive innovation across Vector Databases, agentic AI frameworks, RAG pipelines, and applied AI integration. Collaborate with engineers, product teams, and researchers to build systems that are reliable, scalable, and production-ready. Champion data intelligence and automation, enabling smarter decisions and next-gen user experiences. Ensure designs adhere to principles of data privacy, security, compliance, and AI governance. What You’ll Bring Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field (advanced degree preferred). 10+ years in software or data engineering, with 3+ years focused on AI/ML or data management systems. Deep understanding of AI/ML concepts, MLOps, and modern data architectures (data mesh, lakehouse, etc.). Expertise in data modeling, distributed systems, and performance optimization. Proven ability to translate business goals into scalable, intelligent architectures. Exceptional communication, leadership, and collaboration skills across technical and non-technical teams. Bonus Points Experience working with LLMs, embeddings, RAG pipelines, and vector databases. Familiarity with agentic AI frameworks and building multi-agent workflows for real-world applications. Understanding of AI governance, ethical AI design, and data privacy principles. Contributions to open-source AI or data projects. Why You’ll Love Working Here Be part of a team pioneering enterprise-scale AI and data platforms. Collaborate with world-class engineers, data scientists, and researchers driving innovation in applied AI. Work on projects that redefine how intelligence powers enterprise systems. Thrive in a culture that values curiosity, innovation, and continuous learning. Join us and help define how data + AI = the future of intelligent systems.

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Responsibilities

Lead the architecture and design of enterprise-scale AI and data management platforms. Collaborate with engineers, product teams, and researchers to build systems that are reliable, scalable, and production-ready.