Principal Engineer, Agent Platform

At Gap Inc., we create culture as much as we create clothes. Our ambition is to become a high-performing house of iconic American brands that shape culture.

At Gap Inc., we create culture as much as we create clothes. Our ambition is to become a high-performing house of iconic American brands that shape culture.
Our portfolio—Old Navy, Gap, Banana Republic, and Athleta—each brings a distinct point of view to how we show up in the world and serve our customers.
Old Navy democratizes style with quality and value for all. Gap champions originality through essential pieces that celebrate individuality. Banana Republic is rooted in a spirit of discovery, creating modern pieces inspired by craftsmanship and travel. Athleta champions the Power of She through confidence, strength, and movement.
We’re driven by a shared purpose: to bridge gaps—between people, perspectives, and possibilities—to create a better world.
We’re building a team that performs at a high level—people who think boldly, take ownership, and turn ideas into impact. If you’re ready to learn fast and help shape what’s next, you’ll fit right in.

We are building the enterprise AI agent platform that teams across the company will use to create, deploy, govern, and operate AI-powered solutions  a Principal Engineer, you will help define the technical foundation for agent development across the organization, building the services, frameworks, and guardrails that make AI agents secure, reliable, observable, and easy to adopt. This is a hands‑on engineering role focused on architecture, software design, and platform development.

You will work across AI, distributed systems, cloud infrastructure, security, and governance to deliver a platform that enables product and engineering teams to move quickly while meeting enterprise standards for security, compliance, and operational excellence.

• Design and build core platform services that enable enterprise AI agent development and operations
• Define the architecture, engineering patterns, and technical standards for the AI agent platform
• Develop and maintain a centralized model gateway for routing, governance, resiliency, and cost management
• Build agent runtime capabilities that support long-running workflows, orchestration, and human‑in‑the‑loop processes
• Design secure identity, authorization, and policy enforcement mechanisms for agents and tools
• Establish platform capabilities for context management, memory, retrieval, and data isolation
• Create testing, evaluation, and release frameworks that ensure agent quality, safety, and performance
• Implement observability, auditability, and operational tooling for monitoring and troubleshooting agent behavior
• Partner with Security, Data Governance, and Cloud Infrastructure teams to define platform controls and guardrails
• Mentor engineers, influence technical direction, and raise engineering standards across multiple teams

• Extensive experience building and operating large-scale distributed systems in production
• Strong software engineering background with expert‑level Python development skills
• Hands‑on experience delivering production LLM, generative AI, or agent‑based solutions
• Deep understanding of agent architectures, orchestration patterns, and enterprise AI platforms
• Experienced with retrieval systems, embeddings, vector search, and context management strategies
• Knowledgeable in AI evaluation, testing methodologies, and quality assurance for non‑deterministic systems
• Proficient with Google Cloud services including Vertex AI, Gemini, GKE, Cloud Run, Big Query, and Pub/Sub
• Experienced with cloud security, workload identity, OAuth, policy-as-code, and secure‑by‑design architectures
• Strong understanding…