Public Storage is hiring a Senior Technical Lead, AI & Automation to serve as the technical authority for AI architecture, system design, and delivery. This is a hands-on technical leadership role responsible for shaping how AI solutions are designed, built, deployed, and maintained across our AI POD.
What You'll Do
- Act as the technical lead for the AI POD, mentoring engineers and helping unblock complex technical challenges.
- Establish engineering standards for AI workflows, agent behavior, evaluation, observability, and lifecycle management.
- Ensure consistency across AI solutions while allowing flexibility for rapid experimentation.
- Lead the design and implementation of LLM-powered agents, tool-calling frameworks, and multi-step reasoning workflows.
- Architect and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and enterprise knowledge sources.
- Ensure workflows are resilient, observable, cost-efficient, and maintainable at scale.
- Partner with cloud and infrastructure teams to design scalable AI platforms across GCP, AWS, or Azure.
- Ensure AI systems comply with corporate security standards, data privacy requirements, and ethical AI principles.
What We're Looking For
- Bachelor’s or Master’s in Computer Science, AI/ML, Data Science, or a related discipline.
- 7+ years of professional Python development experience (APIs, microservices, automation).
- Proven experience with LLMs (OpenAI, Anthropic, Meta, Mistral, etc.) and frameworks like LangChain or LlamaIndex.
- Strong knowledge of RAG architectures, vector databases (Pinecone, Weaviate, Chroma, Milvus, Supabase), and semantic search.
- Experience with AI-driven automation and orchestration platforms (n8n, Make, Zapier).
- Cloud-native experience deploying and operating AI workloads in GCP, AWS, or Azure.
- Strong system design skills with the ability to balance speed, quality, and long-term maintainability.
- Solid understanding of AI prompt engineering best practices.
Nice to Have
- Experience with containerization/orchestration (Docker, Kubernetes).
- MLOps experience with continuous training and deployment workflows.
- Frontend development skills (React, Next.js, or similar).
- Prior experience in self-storage, real estate, or retail technology environments.
Technical Stack
- Python, LLMs (OpenAI, Anthropic, Meta, Mistral)
- LangChain, LlamaIndex
- Vector Databases (Pinecone, Weaviate, Chroma, Milvus, Supabase)
- AI Automation Platforms (n8n, Make, Zapier)
- GCP, AWS, Azure, Docker, Kubernetes, React, Next.js
Team & Environment
You will be the technical lead for our AI POD. This is a hands-on technical leadership role, not a people manager.
Work Mode
This role operates on a hybrid work model.
Public Storage is an equal opportunity employer and embraces diversity. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected status.
