The Story of Software
The Story of Software

S04E39 The Future of Work with AI

27 November 2025 36:06 Zartis

Listen to episode

About this episode

Priya Mishra, Director of Technology at Carelon Global Solutions Ireland, shares a practitioner’s perspective on scaling innovation and preparing organisations for the future of work.

 

The Guest:

Priya Mishra is Director of Technology at Carelon Global Solutions Ireland, where she leads the design of transformative, cloud-native solutions that are reshaping healthcare systems. Honored with the Women in STEM – Technology award, she is passionate about people, culture, and reimagining how engineering teams work in the age of AI. With deep global experience in R&D, product development, and team leadership, Priya brings a practitioner’s perspective on scaling innovation and preparing organisations for the future of work.

Together, we unpack the move from rigid hierarchies to fluid, networked teams, the rise of “super generalists,” and why empowered experimentation, psychological safety, and observability matter more than ever. Priya shares her perspective on cognitive overload, the redefinition of software roles, and the real blockers to AI-enabled transformation - especially leadership reluctance and fear of failure. It’s a grounded, practitioner-led look at what the future of work actually requires, far beyond the hype.

Some highlights of this episode include:

  • AI’s Impact on Team Culture & Ways of Working
  • The Evolution of Roles: From Specialists to “AI Orchestrators”
  • Managing AI Adoption: New KPIs & Leadership Challenges
  • Training for the Future: New Literacies & AI Fluency
  • Change Management & Transformation Strategy in the AI Era

 

Listen to the Story of Software on any podcast platform of your choice. The Story of Software Podcast is produced by Zartis, a software services company. We hope you enjoy listening to this tech podcast and feel free to share any feedback with us: [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 The Story of Software. 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.