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