Senior Technical Lead, AI & Automation

Position Summary

We are seeking a Senior Technical Lead, AI to serve as the technical authority for AI architecture, system design, and delivery across the AI POD. This role is responsible for shaping how AI solutions are designed, built, deployed, and maintained across LLM agents, RAG systems, to automation workflows and production infrastructure.

This is a hands-on technical leadership role, not a people manager. You will guide engineers, influence design decisions, establish standards, and ensure AI solutions are scalable, secure, and production-ready while remaining deeply involved in implementation.

Core Responsibilities

• 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.

• Bachelor’s or Master’s in Computer Science, AI/ML, Data Science, or 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.

Preferred:

• 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

Success in This Role Looks Like

• The AI POD ships reliable, scalable, production-ready AI solutions at speed.
• Clear, reusable AI architectures and standards are adopted across teams.
• AI workflows are observable, secure, and cost-efficient; Not brittle experiments.
• Engineers are unblocked, supported, and guided by strong technical leadership.

Workplace

• One of our values pillars is to work as OneTeam and we believe that there is no replacement for in-person collaboration but understand the value of some flexibility. Public Storage teammates are expected to work in the office five days each week with the option to take up to three flexible remote days per month. 

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. All qualified candidates are encouraged to apply.

**Sponsorship for Work Authorization is not available for this posting.  Candidates must be authorized to work in the U.S. without requiring sponsorship now or in the future.**

Base Pay Range: $140,000 - $185,000

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of our total awards approach to compensation which is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses or incentives.