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The DB AI Program Office is the central team unifying Oracle's database AI initiatives into one coherent platform. We help customers develop, deploy and operate AI applications using Oracle data, so developers spend less time repeating setup across products and more time delivering useful applications.
We are looking for a hands-on technical leader with Oracle Database expertise, cloud services experience and practical AI knowledge. You will design from the AI user's perspective, whether developer, platform engineer or administrator. You will shape the roadmap with product management, set technical direction for the team, and write production code.
Required Qualifications
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BS or MS in Computer Science or a related field, with 8+ years of software engineering experience, including 2+ years on database products or database cloud services
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Experience designing SaaS applications, including provisioning, lifecycle management, deployment orchestration, APIs and metadata
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Hands-on experience with LLMs, agentic frameworks, RAG and AI evaluation etc
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Working knowledge of identity and access management, including OAuth, OIDC and fine-grained authorization
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Experience designing for tenant isolation, failure recovery, observability and performance in cloud services
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Strong programming and REST API design skills
Preferred Qualifications
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Experience with Oracle Database AI capabilities
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Familiarity with Oracle database services and identity domains
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Experience with versioning, dependency tracking, lineage or release management for AI or software assets
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Experience building developer tools, SDKs or user-facing consoles
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Familiarity with MCP, agent interoperability, or observability and tracing for AI applications
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Experience working directly with customers or field teams to shape product direction
You Have
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Curiosity about AI and a habit of continuous learning
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Comfort with ambiguity and the ability to create structure
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Excellent written and verbal communication
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Strong ownership, accountability and work ethic
Responsibilities
Responsibilities
Design and build the platform control plane, including APIs, resource management, provisioning workflows and deployment orchestration
Define clear boundaries between platform services and the systems that run customer workloads, including how they exchange configuration, report status and retainownership of their resources and access controls
Build capabilities for discovering and managing AI assets such as agents, models, prompts and tools, with versioning, dependency tracking, lineage and approval workflows
Develop application release bundles that preserve tested configurations while adapting resources and permissions to each environment
Design identity and access patterns for people, applications and AI agents across services, accounts and environments
Address tenant isolation, failure recovery, observability and performance across cloud deployment models
Design secure, performant data and access patterns using Oracle Database
Simplify adoption through clear APIs, actionable diagnostics and integrations with existing developer tools and agent frameworks
Evaluate AI capabilities hands-on as a user, and turn friction into clear engineering priorities with product management, field teams and customers
Prototype difficult technical decisions and write production code
Set technical direction, lead design reviews across team boundaries, mentor engineers, and own implementation quality and operational readiness
Communicate complex topics clearly to engineering, product and leadership