Senior Director AI & Agentic Platform Engineering

Gap Inc

Confirmed live today High trust

Quick summary

Work type
On-site
Location
San Francisco, CADallas, TX
Employment
Full-time
Posted
3 days ago
Freshness
Confirmed live today

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How this pay compares to similar roles

Similar $241k
$171k most similar roles pay here $310k

This listing doesn't post a salary. Most similar roles pay $196,750–$284,950.

Based on 240 similar postings.

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About Gap Inc

Gap Inc. is a leading global specialty retailer offering clothing, accessories, and personal care products for men, women, and children

Gap Inc currently has 8 open roles on FindRole.

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At a glance

TL;DR · Senior Director AI & Agentic Platform Engineering

As Sr. Director - AI & Agentic Platform Engineering, you will lead the development and operation of an enterprise agent platform designed to enable teams to safely develop, deploy, and scale AI agents across the organization. You will build foundational capabilities including agent authoring experiences, tool and MCP integrations, context and memory architecture, and a model gateway for governing traffic. Your role involves managing runtime infrastructure, orchestration engines for durable workflows, and establishing trust mechanisms like guardrails, identity management, and cost controls. You will utilize technologies such as Vertex AI, Gemini, BigQuery, Spanner, Cloud Run, GKE, Terraform, Python, and TypeScript/Go. The work focuses on creating a governed path for agent deployment while ensuring security, observability, and reliability through robust evaluation frameworks and policy enforcement within the enterprise's large-scale AI infrastructure.

What you'll do

  • Define and drive the enterprise agent platform strategy, including architecture and technology choices for scalable adoption.
  • Deliver core infrastructure components like the model gateway, orchestration runtime, and context/memory services.
  • Build and operate trust and quality frameworks including evaluations, observability, and release gates for production agents.
  • Manage platform security, governance, and operational excellence including identity, authorization, and policy enforcement.
  • Oversee cost management, capacity planning, and infrastructure performance monitoring across the agent ecosystem.
  • Develop tools for tool/MCP integrations, procedural knowledge management, and data access models.
  • Establish guardrails and safety mechanisms to ensure agents operate securely and within defined boundaries.
  • Manage deployment processes including tracing, incident response, and continuous improvement of the platform.

What we're looking for

  • Deep expertise in Google Cloud AI services including Vertex AI, Gemini, model deployment, vector search, and evaluation frameworks.
  • Strong experience with data platforms including BigQuery, Spanner, Dataplex, Knowledge Catalog, and Looker/LookML.
  • Proficiency in cloud-native platform engineering using Cloud Run, GKE, Terraform, CI/CD pipelines, and distributed systems architecture.
  • Experience with enterprise security and governance including IAM, workload identity, secrets management, and policy enforcement.
  • Knowledge of event-driven and streaming architectures using Pub/Sub, Dataflow, and workflow orchestration platforms.
  • Expertise in observability and reliability engineering including logging, tracing, monitoring, OpenTelemetry, and incident management.
  • Hands-on experience building agent and LLM platforms, including agent frameworks, MCP integrations, and large-scale model orchestration.
  • Proven software engineering leadership with Python and TypeScript/Go development and multi-tenant platform design.

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