Principal Software Engineer

As a Principal Software Engineer in the AI/ML & Data Platforms group you will lead a technical area and drive impact across teams technologies and projects. You will use your deep knowledge of software applications and product management to deliver multiple complex initiatives. You will serve as a primary decision maker drive innovation and ensure solution delivery. Your leadership will help shape our team culture and advance our technology strategy.

Job Responsibilities:

• Lead technology and process implementations to achieve functional objectives
• Execute creative software solutions design development and technical troubleshooting
• Make decisions influencing resources budget operations and process execution
• Carry governance accountability for coding decisions and control obligations
• Deliver technical solutions leveraged across multiple businesses and domains
• Influence peer leaders and senior stakeholders across product business and technology teams

• Champion a culture of diversity opportunity inclusion and respect

• Architects and governs agentic AI-enabled engineering workflows (using enterprise-authorized tools within the work environment) to improve delivery speed code quality and operational outcomes at scale (e.g. AI-driven PR review assistance test generation/maintenance release readiness checks incident triage and root-cause acceleration) while defining guardrails for validation security resiliency and reuse across teams.

• Applies knowledge of tools within the Software Development Life Cycle toolchain including enterprise-authorized AI-assisted development and automation capabilities to improve the value realized by automation at scale.

Required Qualifications Capabilities and Skills:

• Demonstrate hands-on experience in system design application development testing and operational stability
• Work at code level with practical expertise
• Hold formal training or certification in software engineering concepts
• Build and run AWS/public cloud-based applications

• Develop or lead cross-functional teams of technologists

• Demonstrated experience designing and leading adoption of agentic AI-enabled development practices (using enterprise-authorized tools within the work environment) across teams including setting standards for human-in-the-loop validation auditability/traceability of changes and secure handling of sensitive data.

• Strong understanding of responsible AI use and control expectations in engineering workflows including security/resiliency implications data sensitivity and risk-based governance; ability to influence senior technical leaders on safe scaling patterns and reuse.

• Hire develop and recognize talent

Preferred Qualifications Capabilities and Skills:

• Drive innovation in AI/ML and data platform technologies
• Foster collaboration across global teams
• Communicate complex technical concepts to diverse audiences
• Adapt to evolving technology landscapes
• Promote best practices in software engineering
• Mentor and coach emerging leaders
• Advocate for continuous improvement and learning