Principal AI Solutions Architect
3 days ago
As an AI Solutions Architect, you will be responsible for creating architectural blueprints, developing scalable AI solutions, and guiding engineering teams on best practices. You will directly impact Oracle Database's AI growth by aligning technology investments with strategic business goals.
What you will experience:
- Strategic Influence: Shape Oracle Database's AI direction by aligning technical decisions with business growth.
- Executive Visibility: Develop and present solution architectures and key milestones to influence senior executives.
- Cross-Functional Impact: Collaborate with Product Management, Engineering, and Operations to deliver robust, value-driven AI solutions, leveraging the latest OCI technologies.
- Business-Critical Design: Define and drive high-priority architectural initiatives that directly influence measurable business value and operational efficiency through AI/ML adoption.
- Professional Growth: Work with accomplished architects and technical leaders, be recognized as a key contributor, and provide mentorship and best practice guidance.
The role involves developing solutions for complex AI initiatives at scale for Oracle Databases, including but not limited to:
- Developing and owning the architectural vision for AI agent adoption within Oracle Databases.
- Designing scalable, secure, and maintainable architectures for cloud-native, microservices, and event-driven systems.
- Leading architecture and design reviews, proofs of concept, and complex problem-solving initiatives.
- Partnering with engineering teams to ensure architectural integrity, solution quality, and adherence to best practices.
- Establishing, advocating for, and enforcing best practices for system performance, reliability, security, and regulatory compliance.
Providing technical mentorship and thought leadership across engineering teams (no direct people management).
Qualifications
- Bachelor's degree in Computer Science, Software Engineering, or a related field (Master's degree preferred).
- 10+ years of professional software development experience, with a proven record in system and platform architecture.
- Hands-on experience with AI, conversational AI, or intelligent automation systems (required).
- Expertise in cloud-native architectures, microservices, and event-driven systems.
- Proficiency in one or more programming languages (e.g., Java, Python).
- Experience with developer platforms, SDKs, or APIs.
- Strong understanding of developer experience principles, including documentation, onboarding, and test environments.
- Solid knowledge of security, authentication/authorization, and API management best practices.
- Experience with enterprise SaaS solutions is highly desirable.
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