1 day ago
Responsibilities
- Design and build core platform services for enterprise AI agent development and operations.
- Define 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 for long-running workflows, orchestration, and human-in-the-loop processes.
- Design secure identity, authorization, and policy-enforcement mechanisms for agents and tools.
- Establish capabilities for context management, memory, retrieval, and data isolation.
- Create testing, evaluation, and release frameworks for 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 on platform controls and guardrails.
- Mentor engineers, influence technical direction, and raise engineering standards across multiple teams.
Requirements
- 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.
- Experience with retrieval systems, embeddings, vector search, and context management strategies.
- Knowledge of AI evaluation, testing methodologies, and quality assurance for non-deterministic systems.
- Proficiency with Google Cloud services including Vertex AI, Gemini, GKE, Cloud Run, BigQuery, and Pub/Sub.
- Experience with cloud security, workload identity, OAuth, policy-as-code, and secure-by-design architectures.
- Strong understanding of distributed-system reliability patterns, including resiliency, retries, observability, and fault tolerance.
- Proven ability to influence technical direction, drive adoption of architectural standards, and lead through expertise rather than authority.
Tech Stack
Google BigQueryPython
Categories
About Gap
Gap Inc. is a public U.S. apparel retailer that operates the Gap, Old Navy, Banana Republic, and Athleta brands, selling clothing and accessories for men, women, and children. It generates revenue through company-operated and franchise stores and e-commerce across global markets. Founded in 1969 and headquartered in San Francisco, it trades on the NYSE.