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AI Engineer NYC 2026

Welcome Remarks

Day 2 · Oct 14 Day 2 digest · More from this day

Ksenia Se of Turing Post, introduced by an unnamed host voice, opens the third and final day of AI Engineer New York with sponsor thanks, a room-by-room program overview, and a hand-off to the first Ramp keynote.

TL;DR

Section titled “TL;DR”
  • After a 15-minute pre-show hold, an unnamed host voice opens the stream at 00:15:01 and introduces the day’s MC: “founder, writer, and analyst at Turing Post, Kseniya Se.”
  • Kseniya Se welcomes attendees to day three, jokes about karaoke with Swyx the night before, and notes this is her second time emceeing AI Engineer in New York.
  • Sponsors receive applause by tier: Arize (presenting); Oracle, Sonar, WorkOS, and Axa (platinum); then gold, silver, and supporting partners.
  • She previews the day by room: Shannon (finance, compute, infrastructure), Turing (evaluations, benchmarking, retrieval), Sutton (developer tools, enterprise data, token economics), McCarthy (model costs, coding agents, banking).
  • She closes by introducing the first keynote: Alexander Shevchenko of Ramp, “Chasing Capabilities While Waiting for the Frontier.”

Key lessons

Section titled “Key lessons”
  1. The AI engineer role is shifting toward agent management. Day two partner Thinakaran of Arize asked “What does an AI engineer do?” and day three answers with Ryan Carson’s session “Your Job Is Now Agent Manager.” Kseniya quips that the job description “just changed overnight” and hopes compensation keeps up.
  2. The sponsor roster maps the ecosystem: Arize is the presenting sponsor; Oracle, Sonar, WorkOS, and Axa are platinum; gold, silver, and supporting partners complete the list. She notes that several sponsors also employ the attendees, so they see the responsibility shift firsthand.
  3. The three days form a progression. Monday held hands-on workshops, from Cerebras and OpenAI to the startup OpenPros. Tuesday covered how AI translates into operating margin. Day three covers the capabilities companies build toward, the work agents can take on, and what managing that involves.
  4. Day three content splits by room. Shannon Room: finance, compute, and infrastructure. Turing Room: evaluations, benchmarking, retrieval, self-improving agents, and skills. Sutton Room: developer tools, enterprise data, software factories, agent permissions, and token economics. McCarthy Room: model costs, coding agent context, human verification, and banking deployment with financial agent evidence.
  5. Turing Post’s “Org Age of AI” series frames three questions for companies adopting the technology: how the work changes, what becomes practical that was not before, and why ROI still lags while superintelligence feels powerful.
  6. The event’s value comes from mixing the two groups: people building the technology and people who understand the work in detail. The first speaker, Ramp, works at the intersection of those worlds.

Watch this session

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Ksenia Se, Unidentified host (stream opening) · 8:55:37 AM ET–9:00:50 AM ET · keynote · Watch on YouTube from 00:15:01

Notable quotes

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“Welcome to the third and the final day of AI Engineer New York.” [00:15:35 | 8:56:10 AM]

“And our silver sponsors, let’s give them as much applause as possible because, you know, we don’t ration enthusiasm by tier.” [00:17:19 | 8:57:54 AM]

“And why, while superintelligence feels so powerful, why is the ROI still missing?” [00:19:34 | 9:00:09 AM]

“So please help me welcome Alexander Shevchenko with Chasing Capabilities While Waiting for the Frontier.” [00:20:08 | 9:00:43 AM]

Session narrative

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The stream exits a 15-minute pre-show hold at 00:15:01 when an unidentified host voice delivers the opening lines: “Good morning and welcome back.” The host sets the frame for the last day, promising to build on conversations already underway, then introduces the MC at 00:15:13 as “founder, writer, and analyst at Turing Post, Kseniya Se.”

Kseniya takes the stage with high energy at 00:15:22 (“Good morning, good morning, good morning, everyone”), welcomes the crowd to the third and final day, and asks who went to a cool event the night before. Her own answer: karaoke with Swyx, “100% recommend.” She introduces herself as the writer of Turing Post and the day’s MC, and notes it is her second time emceeing AI Engineer in New York.

The middle of the segment is the sponsor acknowledgment block. She ties it to the day’s theme: employers are watching how fast the AI engineer’s job changes, and “quite a few of your employers are also our sponsors.” Applause moves down the tiers: presenting sponsor Arize; platinum sponsors Oracle, Sonar, WorkOS, and Axa; gold sponsors on screen; silver sponsors with the joke that “we don’t ration enthusiasm by tier”; and finally the supporting partners, because “it takes a village.” She admits “I’m a little nervous. It’s early.”

She closes with a program arc and a hand-off. Monday was workshops, Tuesday was operating margin, and today is capabilities, agents, and their management. She walks the four rooms (Shannon, Turing, Sutton, McCarthy), connects the themes to Turing Post’s “Org Age of AI” series and its ROI question, and observes that the room mixes technology builders with domain experts. At 00:20:08 she introduces the first keynote, Alexander Shevchenko of Ramp with “Chasing Capabilities While Waiting for the Frontier,” and ends the segment with “Thank you.” at 00:20:15.

Speaker details

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Ksenia Se - AI Inferencer, Turing Post. Co-founder of Turing Post, a newsletter and media platform covering machine learning and AI. She shapes the editorial direction, leads the “Inference” interview series, and produces “Attention Span”, a video series explaining major shifts in AI. She has covered machine learning and AI for more than seven years, previously held editor-in-chief roles, and contributed to outlets including Stratfor and Towards Data Science. She is also co-founder of TheSequence.ai, a mother of five, and a frequent speaker and moderator at conferences such as AIE, HumanX, and Ai4.

Links: LinkedIn | Twitter | Website

Note: the transcript renders her name phonetically as “Kseniya Se”; the agenda and speaker record use “Ksenia Se”.

Unidentified host - Stream announcer (identified from session). An off-screen voice opens the stream at 00:15:01 with “Good morning and welcome back,” previews the final day, and introduces the MC at 00:15:13 as “founder, writer, and analyst at Turing Post, Kseniya Se.” The voice is never named in the transcript.

Full timestamped transcript

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[00:15:02 | 8:55:37 AM] Good morning and welcome back.
[00:15:04 | 8:55:39 AM] We're excited to spend this final day together, building on the conversations already underway and making room for a few more big conversations.
[00:15:13 | 8:55:48 AM] Without further ado, please welcome today's MC, founder, writer, and analyst at Turing Post, Kseniya Se.
[00:15:22 | 8:55:57 AM] Woo!
[00:15:22 | 8:55:57 AM] Good morning, good morning, good morning, everyone.
[00:15:35 | 8:56:10 AM] Welcome to the third and the final day of AI Engineer New York.
[00:15:39 | 8:56:14 AM] Who went to a cool event last night?
[00:15:41 | 8:56:16 AM] What was the coolest?
[00:15:44 | 8:56:19 AM] Okay, I went to karaoke with Swyx, and it was amazing.
[00:15:48 | 8:56:23 AM] 100% recommend.
[00:15:50 | 8:56:25 AM] So yes, I'm Kseniya Se.
[00:15:52 | 8:56:27 AM] I write Turing Post, and I'm your MC for today.
[00:15:56 | 8:56:31 AM] It's actually my second time emceeing AI Engineer in New York, so that's how much I love it.
[00:16:02 | 8:56:37 AM] And let's go to the program, because yesterday our partner, Thinakaran from Arize, asked, What does an AI engineer do?
[00:16:14 | 8:56:49 AM] And today we have a session from Ryan Carson called Your Job Is Now Agent Manager.
[00:16:20 | 8:56:55 AM] So apparently your job description just changed overnight, and I hope that the compensation will keep up.
[00:16:27 | 8:57:02 AM] But fortunately, quite a few of your employers are also our sponsors, so they've seen how quickly your responsibility is changing.
[00:16:42 | 8:57:17 AM] And let's give them a warm round of applause.
[00:16:45 | 8:57:20 AM] A little encouragement goes...
[00:16:48 | 8:57:23 AM] Long way.
[00:16:49 | 8:57:24 AM] Our most amazing presenting sponsor, Arize, please.
[00:16:55 | 8:57:30 AM] Thank you, thank you, thank you.
[00:16:57 | 8:57:32 AM] The grade four, our platinum sponsors, Oracle, Sonar, WorkOS, and Axa, please big round of applause.
[00:17:07 | 8:57:42 AM] Scattering gold sponsors all on this screen, please.
[00:17:12 | 8:57:48 AM] Let's acknowledge everyone with our eyes and give them a big hand.
[00:17:19 | 8:57:54 AM] And our silver sponsors, let's give them as much applause as possible because, you know, we don't ration enthusiasm by tier.
[00:17:29 | 8:58:04 AM] So please clap, clap, clap, clap, clap.
[00:17:32 | 8:58:07 AM] And finally, to all of us, to all our supporting partners, thank you for making this possible.
[00:17:37 | 8:58:12 AM] It would not be possible without anyone.
[00:17:40 | 8:58:15 AM] Like everyone, you know, it takes a village.
[00:17:43 | 8:58:18 AM] So thank you, thank you, thank you.
[00:17:46 | 8:58:21 AM] Woo!
[00:17:47 | 8:58:22 AM] I'm a little nervous.
[00:17:48 | 8:58:23 AM] It's early, but thank you for bearing with me.
[00:17:52 | 8:58:27 AM] If you've noticed, there is an interesting progression across all these three days.
[00:17:57 | 8:58:32 AM] On Mondays, you could join super practical, hands-on workshops, and you heard from big guys like Cerebras and OpenAI to small but super interesting startups like OpenPros.
[00:18:09 | 8:58:44 AM] Yesterday, the conversation included how AI translates into operating margin, and today we'll hear about the capabilities companies are building toward, the work agents can take on, and what managing that might involve.
[00:18:29 | 8:59:04 AM] Things will be happening here in Shannon Room, and it will be finance, compute, and infrastructure sessions.
[00:18:36 | 8:59:11 AM] In Turing room, my favorite name, evaluations, benchmarking, retrieval, self-improving agents and skills.
[00:18:44 | 8:59:19 AM] In Sutton room, you will hear about developer tools, enterprise, enterprise data, software factories, agent permissions, and token economics.
[00:18:55 | 8:59:30 AM] And McCarthy room finally will be about model costs, coding agent context, human verification, and banking deployment and financial agent evidence.
[00:19:07 | 8:59:42 AM] And at Turing Post, we spend a lot of time following all these directions and research in these directions.
[00:19:16 | 8:59:51 AM] But we also have a series called the Org Age of AI, where we look at what happens to a company as it begins to work with this technology.
[00:19:28 | 9:00:03 AM] How does the work change, right?
[00:19:30 | 9:00:05 AM] What becomes possible that wasn't practical before?
[00:19:34 | 9:00:09 AM] And why, while superintelligence feels so powerful, why is the ROI still missing?
[00:19:41 | 9:00:16 AM] And that's part of what makes this gathering so interesting to me.
[00:19:46 | 9:00:21 AM] You have people developing the technology in the same room as people who understand in considerable detail the work it needs to do.
[00:19:54 | 9:00:29 AM] And there is a lot of those two groups can learn from each other.
[00:19:58 | 9:00:33 AM] That's fascinating to me.
[00:20:00 | 9:00:35 AM] And our first speakers work at the intersection of those two worlds at Ramp.
[00:20:08 | 9:00:43 AM] So please help me welcome Alexander Shevchenko with Chasing Capabilities While Waiting for the Frontier.
[00:20:15 | 9:00:50 AM] Thank you.