# AI Data Engineers - Data Engineering After AI // Vikram Chennai // #309

Page: https://stenobird.com/podcast/mlops-community/ai-data-engineers-data-engineering-after-ai-vikram-chennai-309
Text version: https://stenobird.com/podcast/mlops-community/ai-data-engineers-data-engineering-after-ai-vikram-chennai-309.md
Podcast: [MLOps.community](https://stenobird.com/podcast/mlops-community)
Published: 2025-04-25T17:28:38+00:00
Episode link: https://podcasters.spotify.com/pod/show/mlops/episodes/AI-Data-Engineers---Data-Engineering-After-AI--Vikram-Chennai--309-e320jmm
Audio file: https://anchor.fm/s/174cb1b8/podcast/play/101780630/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2025-3-25%2F399083475-44100-2-9e7a42bdeac54.mp3
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JSON: https://stenobird.com/v1/public/podcasts/mlops-community/episodes/ai-data-engineers-data-engineering-after-ai-vikram-chennai-309
Duration seconds: 2980

## Resource

AI Data Engineers - Data Engineering after AI // MLOps Podcast #309 with Vikram Chennai, Founder/CEO of Ardent AI. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // Abstract A discussion of Agentic approaches to Data Engineering. Exploring the benefits and pitfalls of AI solutions and how to design product-grade AI agents, especially in data. // Bio Second Time Founder. 5 years building Deep learning models. Currently, AI Data Engineers // Related Links Website: tryardent.com ~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~ Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExplore Join our Slack community [ https://go.mlops.community/slack ] Follow us on X/Twitter [ @mlopscommunity ]( https://x.com/mlopscommunity ) or [LinkedIn]( https://go.mlops.community/linkedin )] Sign up for the next meetup: [ https://go.mlops.community/register ] MLOps Swag/Merch: [ https://shop.mlops.community/ ] Connect with Demetrios on LinkedIn: /dpbrinkm Connect with Vikram on LinkedIn: /vikram-chennai/ Timestamps: [00:00] Vikram's preferred coffee [00:09] Takeaways [00:42] Please like, share, leave a review, and subscribe to our MLOps channels! You can give us up to 5 stars on Spotify and leave your reviews! [01:53] Product User Categories [02:47] AI Data Engineer Role [05:40] AI Coding Limits Enterprise [09:22] Creating Feedback Loops [14:23] Breaking Down Big Tasks [19:39] Marketing Data Agent Scope [28:03] Clear Success Metrics [32:20] Creating Agent Glossary [36:43] AI Prompt Toolkits [38:54] Pricing Strategy Discussion [43:20] Compute Abstraction and Pipelines [45:23] Agent Surprises and Logs [47:12] Wrap up

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