Role overview

As a Security-Focused AI Software Engineer on the Digital Product and AI Platform team, you will embed security practices into the design and development of production backend systems and AI architectures. You will work across engineering, product management, cloud infrastructure, and security teams to build resilient, trustworthy systems that power enterprise AI capabilities.

Key responsibilities

Drive application security and secure development lifecycle practices by conducting threat modeling, secure design reviews, and vulnerability remediations across the engineering team.
Architect, build, and deploy production-grade backend microservices and AI workflows in Python on AWS, integrating large language models, retrieval-augmented generation pipelines, and microservices with enterprise platforms.
Implement AI guardrails and governance controls including output validation, automated prompt testing, fallback mechanisms, rate limiting, and human-in-the-loop workflows to ensure safe AI behavior in production.
Build monitoring, audit logging, and automated evaluation frameworks to identify security signals, enable rapid incident response, and continuously improve engineering practices.
Ensure all digital products and APIs follow least-privilege access, robust authentication, and strict data protection standards.

Requirements

Strong proficiency in Python and experience building RESTful microservices and cloud-native applications on AWS, including containerized architectures.
Proven expertise in threat modeling, secure API design, cryptography fundamentals, data protection, secrets management, and OWASP and supply-chain risk mitigation practices.
Hands-on experience developing large language model-driven or agentic AI applications, building RAG pipelines, applying prompt engineering strategies, and implementing production guardrails or model evaluation frameworks.
Demonstrated knowledge of distributed systems and backend engineering patterns.

What makes this role worth considering

You will be part of a company recognized as a Fortune Best Workplace in Technology and the Bay Area, and certified as a Great Place to Work. The role offers flexible time off, wellness resources, and company-sponsored team events to support work-life balance. This position is based in Santa Clara, California, with an expectation to work from the office unless on approved leave or work travel.