Senior AI Agent Platform Architect

The Gap, Inc.; San Francisco (CA); On-site; USD 180,000 - 280,000; Full time

Job summary

The Gap, Inc. is building an enterprise AI agent platform to enable teams across the company to create, deploy, govern, and operate AI-powered solutions at scale.

As a Principal Engineer, you will define the technical foundation for agent development, building services, frameworks, and guardrails for secure, reliable, and scalable AI agents. This hands-on role focuses on architecture, software design, and platform development across AI, distributed systems, cloud infrastructure, security, and

Qualifications

• Extensive experience building and operating large-scale distributed systems in production.
• Expert-level Python development skills with hands-on engineering focus.
• Hands-on experience delivering production LLM, generative AI, or agent-based solutions.
• Deep understanding of agent architectures, orchestration patterns, and enterprise AI platforms.
• Experience with retrieval systems, embeddings, vector search, and context management strategies.
• Knowledgeable in AI evaluation, testing methodologies, and QA for non-deterministic systems.
• Proficient with Google Cloud services including Vertex AI, Gemini, GKE, Cloud Run, BigQuery, and Pub/Sub.

Responsibilities

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

Skills

Distributed systems

Python

Production LLM/agent solutions

Agent architectures

Retrieval/embeddings/vector search

Context management

AI evaluation & testing

Google Cloud (Vertex AI, Gemini, GKE,

Cloud security

Policy-as-code

Observability & reliability patterns

Influencing technical direction

Tools

Vertex AI

Gemini

GKE

Cloud Run

BigQuery

Pub/Sub

Job description

The Gap, Inc. is building an enterprise AI agent platform to enable teams across the company to create, deploy, govern, and operate AI-powered solutions at scale.

As a Principal Engineer, you will define the technical foundation for agent development, building services, frameworks, and guardrails for secure, reliable, and scalable AI agents. This hands-on role focuses on architecture, software design, and platform development across AI, distributed systems, cloud infrastructure, security, and