Cover Image for The AI Agent Era in Academia: A Private Dinner for Professors & Institution Builders
Cover Image for The AI Agent Era in Academia: A Private Dinner for Professors & Institution Builders
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The AI Agent Era in Academia: A Private Dinner for Professors & Institution Builders

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Bengaluru, India
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About Event

​The syllabus hasn’t changed. The work already has.

​An invite-only, closed-door dinner for Bengaluru’s engineering professors, HODs, deans, placement leaders and academic heads navigating one of the biggest shifts in engineering employment in two decades.

​Hosted by Abhishek Srivastava, Founder & CEO, The CareerTrek Company, and Deepak Chawla, Founder, HiDevs.

​The Question Every Engineering Institution Must Answer

​The conversation around AI in higher education has largely focused on one question:

​“What should we teach students about AI?”

​But the more important question is:

​“What kind of work will our students actually be hired to do?”

​That creates three urgent questions for engineering institutions:

​1. What is the industry expecting from engineers in an AI-first workplace?

​The role of an entry-level engineer is changing.

​AI is increasingly becoming part of how software is designed, built, tested, analysed and deployed.

​The differentiator is moving beyond simply writing code toward the ability to build with AI, integrate systems, use tools intelligently, evaluate outputs and solve real engineering problems.

​Institutions therefore need visibility into the work itself before deciding what students need to learn.

​2. What skills will students need to perform that work?

​If engineering work changes, the skill stack must change with it.

​Students will increasingly need a combination of:

  • ​Strong engineering and computational fundamentals

  • ​AI-assisted development

  • ​Agent and workflow orchestration

  • ​API and tool integration

  • ​Retrieval and knowledge systems

  • ​Data reasoning

  • ​Testing and verification of AI-generated outputs

  • ​Product and problem-solving ability

  • ​Systems thinking

  • ​Communication and documentation

  • ​Ability to build and demonstrate working solutions

​The challenge is no longer simply adding an “AI subject.”

​It is about understanding what an industry-ready engineer should be able to do.

​3. Where is the actual skill gap?

​Most institutions already have strong academic foundations.

​The gap often appears between:

​What students study → What students practise → What students can independently build → What employers can actually verify.

​Traditional classroom assignments and semester projects may not always provide enough evidence of a student's ability to work in modern AI-enabled engineering environments.

​At the same time, institutions cannot completely redesign university curricula every six months.

​The real question therefore becomes:

​How do we build the missing industry layer around the existing curriculum?

​That is the conversation this dinner is designed to unlock.

​What We Will Unpack Over Dinner

​The Future of Engineering Work

​What will software engineers, data engineers and AI engineers actually be expected to do inside companies over the next few years?

​Not just which technologies they will know, but what their day-to-day work could look like.

​The New Engineering Skill Stack

​Which capabilities are becoming essential as AI moves from a productivity tool to an active participant in engineering workflows?

​Mapping the Campus-to-Industry Gap

​Where do today's students typically stand against those expectations?

​What is already being covered well inside colleges, and what remains missing?

​From Subjects to Proof-of-Work

​If employers increasingly want evidence of capability, what should students be able to build, demonstrate and explain before they graduate?

​Building the Industry Layer Around the Curriculum

​How can institutions introduce practitioner-led build programs, AI labs, industry challenges, project cohorts and proof-of-work experiences without waiting for complete syllabus revisions?

​A New Way to Curate Engineering Programs

​Instead of starting with:

​“Which course should we add?”

​Can institutions start with:

​Future Work → Required Skills → Existing Capability → Skill Gap → Learning Experience → Proof-of-Work

​Evening Flow

​6:00 – 6:30 PM | Arrival & Curated Networking

​Coffee and focused conversations among HODs, Deans, Placement Heads and Academic Leaders dealing with similar questions around engineering talent and AI readiness.

​6:30 – 6:40 PM | Opening Provocation

​If AI Changes the Work, Should We Still Prepare Engineers the Same Way?

​A short framing of the evening around three questions:

​What work is changing?

​What skills will that work require?

​Where is the gap between campus preparation and industry expectations?

​6:40 – 7:05 PM | What Will Engineering Work Actually Look Like?

​Deepak Chawla, Founder, HiDevs

​A practitioner-led view of the AI-first technology workplace.

​Discussion around:

  • ​How AI is changing software and engineering workflows

  • ​From coding tasks to AI-assisted execution

  • ​Agents, APIs, retrieval systems and automated workflows

  • ​Where human engineers remain critical

​7:05 – 7:30 PM | From Engineering Skills to Proof-of-Work

​Abhishek Srivastava, Founder & CEO, The CareerTrek Company

​A discussion on translating changing industry expectations into practical student experiences.

​Exploring:

  • ​What employers can actually evaluate

  • ​Moving beyond classroom assignments

  • ​Industry-led projects and build experiences

  • ​Creating demonstrable evidence of student capability

​7:30 – 8:00 PM | The Provocation: How Do We Build the Industry Layer Around the Curriculum?

​An open discussion on how institutions can complement the existing curriculum through:

  • ​Practitioner-led programs

  • ​AI and agent labs

  • ​Industry challenges

  • ​Project-based cohorts

  • ​Proof-of-work portfolios

  • ​Industry and ecosystem partnerships

​8:00 – 8:20 PM | The Room Speaks

​Every professor, dean and academic leader shares in 60 seconds:

​What is the biggest challenge your institution is facing around AI readiness, engineering skills or student placements this academic year?

​8:20 – 9:30 PM | Private Dinner & Executive Strategy

​High-trust, Chatham House Rule dinner conversations exploring institutional challenges, emerging engineering skill requirements and potential industry-academia collaboration models.

​Who Should Request an Invitation

  • ​Deans of Academic Affairs & Engineering HODs

  • ​CSE, ISE, AI/ML & ECE Department Heads

  • ​Placement Directors & Industry Relations Heads

  • ​College Principals & Directors

  • ​Academic Leaders of Autonomous Institutions

  • ​Engineering Education & Industry Partnership Leaders

​Note: Due to the private nature of the venue and the depth of conversation, this roundtable is capped at 25 confirmed attendees.

Location
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Bengaluru, India
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