AI-Native Platform Architect & Lead Engineer

Oracle; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Short-Term Disability Insurance

Long-Term Disability Insurance

Life Insurance

401(k) With Company Match

Paid Time Off

Paid Holidays

Paid Parental Leave

Employee Stock Purchase Plan

Financial Planning

Group Legal Benefits

Equity Eligibility

Job summary

Oracle is shaping the architecture and technical direction of its AI-native development capabilities, building foundational systems such as agent harnesses, execution platforms, workflows, and evaluations.

You will lead ambitious, cross-team initiatives from planning through adoption and operation, while establishing dependable engineering practices and measuring their impact on productivity, quality, security, and cost.

Qualifications

• Requires extensive experience designing, delivering, and operating complex software systems or developer platforms.
• Hands-on engineering ability and technical leadership across multiple teams.
• Experience with AI-native development approaches, agent harnesses, context strategies, and evaluations.

Responsibilities

• Shape the architecture and technical direction of Oracle’s AI-native development capabilities, and build foundational systems.
• Lead ambiguous, cross-team initiatives from planning through adoption and operation, while establishing dependable engineering practices.
• Measure impact on productivity, quality, security, and cost to drive continuous improvement.

Skills

Technical Leadership

Software Architecture

Hands-On Software Engineering

AI-Native Development

Context Strategies

Security Engineering

Cross-Team Collaboration

Job description

Oracle is shaping the architecture and technical direction of its AI-native development capabilities, building foundational systems such as agent harnesses, execution platforms, workflows, and evaluations.

You will lead ambitious, cross-team initiatives from planning through adoption and operation, while establishing dependable engineering practices and measuring their impact on productivity, quality, security, and cost.