Shift AI Podcast
Shift AI Podcast

Transforming Public Service through AI with CTO Rob Lloyd and Joe Nguyen

01 January 2026 47:11 Boaz Ashkenazy

Listen to episode

About this episode

In this episode of the Shift AI Podcast, Rob Lloyd, Chief Technology Officer of the City of Seattle, joins host Boaz Ashkenazy to discuss Seattle's groundbreaking approach to implementing artificial intelligence in municipal government. Lloyd shares his journey from serving multiple cities across America to spearheading one of the nation's most progressive urban AI initiatives, revealing how Seattle is transforming public services through thoughtful technology adoption.

From traffic safety innovations to permitting process overhauls, Lloyd offers a candid look at the successes and failures of Seattle's AI pilots, including the surprising revelation that 80% of initial experiments didn't stick.

The conversation takes an unexpected turn when Joe Nguyen, Director of Commerce for Washington State, joins to discuss statewide AI efforts, creating a rare dialogue between city and state technology leaders. If you're interested in understanding how government can responsibly deploy AI to serve communities better, this episode provides practical insights from leaders navigating the complex intersection of public service, technology, and trust.


Chapters

[00:00] Introduction and Rob's Journey to Seattle

[03:30] Career Path Through Multiple Cities

[06:45] Growing Up in a Military Family

[09:15] First Jobs and Character Building

[12:00] Seattle's AI Plan Genesis and Evolution

[16:30] Policy Framework and Community Trust

[20:15] Pilot Programs: Success and Failure Rates

[24:45] Traffic Safety and Game Theory Applications

[28:00] Permitting Process Transformation

[32:30] Special Guest: Joe Nguyen from Washington State

[35:15] State-Level AI Implementation at Commerce

[38:45] Cultural Shifts and Future Vision


Connect with Rob Lloyd

LinkedIn: https://linkedin.com/in/rob-lloyd-cto-seattle/


Connect with Joe Nguyen

LinkedIn: https://linkedin.com/in/meetjoenguyen/


Connect with Boaz Ashkenazy

LinkedIn: https://linkedin.com/in/boazashkenazy

Email: [email protected]


Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 Shift AI Podcast. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.