AI Architecture Conference - Future With ARC - Jan 2027, Abu Dhabi

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ARC — Software Architecture & Engineering Conference · Abu Dhabi, UAE · 12 – 14 January 2027
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Made forCloud & Platform Engineers
Defined byNo Hype. Just Engineering.
Built bySystems Architects
Engineered forReal Production
Shaped byAI Builders
Driven bySenior Practitioners
Designed forDistributed Thinkers
Designed forEngineering Leaders
Fuelled byReal-World Complexity
Powered byThose Who Ship
Made forCloud & Platform Engineers
Defined byNo Hype. Just Engineering.
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Abu Dhabi, UAE

info@futurewitharc.com

#futurewitharc #futurewitharc

The Region Has The Vision

Now it needs the software engineers, the architects, the data and AI engineers, the DevOps and platform practitioners, the cybersecurity and compliance engineers, the engineering leaders and the researchers who will turn it into something that runs in production — securely, at scale, and built to last.

The UAE is moving half of its government services to Agentic AI. Saudi Arabia is embedding it across Vision 2030. From Riyadh to Cairo, from Doha to Amman, the question is no longer whether autonomous systems will run the region's infrastructure. It is who will build them well.

That question does not get answered in a boardroom or a strategy document. It gets answered by engineers working on real systems, learning from each other, being honest about what works and what does not.

ARC 2027 is that conversation. In Abu Dhabi. In January. While it still matters to be in the room.

Real-world Practice, Architectural Excellence, and Knowledge Sharing in the Era of AI

OverviewEngineering systems for the Agentic AI Era

Architecture

Designing systems that endure

Designing systems that endure How do you build for a world where the software itself makes decisions? Architecture has always been about trade-offs. Agentic AI adds new dimensions to every one of them; trust boundaries, non-deterministic behaviour, feedback loops at runtime. These sessions go deep on how modern systems are structured, the patterns that hold under real pressure and the ones that quietly fall apart.

Real – World Practice

Lessons from systems that are running right now

No simulations. No proof-of-concepts presented as case studies. The engineers speaking at ARC run production systems with real users, real failures and real stakes. What you hear here is what actually happened and not what the architecture diagram promised before the first deploy.

Complexity

Engineering at scale, under real constraint

Scale is not just a technical problem. It is a people problem, an organisational problem and, increasingly, an AI governance problem. When autonomous agents are making decisions at volume, the complexity is not in the code, it is in knowing when to trust the output, when to override it, and what happens when you get that call wrong. These sessions address the kind of complexity that does not appear in documentation.

Agentic AI Systems

Building agents that work in the real world

Autonomous AI agents have moved from research environments to production systems faster than most engineering teams expected. How do you architect a multi-agent system? How do you evaluate something that does not behave deterministically? How do you govern a system operating at government scale? These are not theoretical questions anymore. This track is dedicated to the engineers who are answering them right now, in the field.

Join the Engineers Building Real Systems

Be part of a focused community shaping how modern software systems are designed and operated in the Era of AI

Architecture, Practice, and Production Systems. 
Architecture, Practice, and Production Systems. 
Architecture, Practice, and Production Systems. 
Architecture, Practice, and Production Systems. 

aboutConference Themes

ARC

40–60
curated talks
Peer-reviewed
Vendor-neutral
One dedicated Agentic AI track

  • Software Architecture and Distributed Systems
  • Agentic AI: Architecture, Deployment and Governance
  • Cloud, Platform and AI Infrastructure Engineering
  • Security, Privacy and Compliance in AI Systems
  • Engineering Leadership in the AI Transformation Era
  • UAE and MENA Case Studies: Government and Enterprise

PlanningStrategic Intent & Impact

Engineering Excellence:

Creating a vendor-neutral, high-signal environment focused on real-world practice

Ecosystem Growth:

Bridging the gap between industry and academia to support regional talent development

Knowledge Exchange:

Sharing experience reports, architectural trade-offs, and lessons learned from the field

Sustainable Community:

Building a year-round community for senior technical leaders
 

The ARC Ecosystem

ARC is not one event. It is a year-round technical community built around the same principles as the conference which is practitioner-led, peer-reviewed, and focused on what is actually happening in production. Each programme serves a different part of the engineering community.

Learning and mentorship for early-career engineers, guided by practitioners who’ve already navigated the path ahead. The best time to learn how Agentic AI systems are built is before you’re asked to build them.

An engineering leadership forum that takes the technical work seriously and the industry's structural problems seriously in equal measure. The Agentic AI era needs more of the right people in the rooms where decisions get made.

Invite-only C- Level roundtables. Peer conversations about Agentic AI strategy, team structure and technical direction at scale. The conversations that happen here stay here which is exactly why they are worth having.

A hands-on workshop for senior engineers who want to go beyond talks and work through real problems alongside their peers. Space is deliberately small. The format is deliberately unpolished. That is the point.

Industry-specific sessions where the engineering challenges of financial services, healthcare, government, Ecommerce and logistics can be discussed with the specificity they deserve. Agentic AI looks different in a hospital than it does in a bank. These sessions honour that.

Free to attend. Open to anyone who cares about engineering done well. Monthly webinars, community discussions and the kind of conversations that do not need a ticket price to be worth having. A good place to start if you are deciding whether ARC is for you.

The ARC Ecosystem

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ARC NEXT:
Learning & mentorship for early-career engineers
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ARC WOMEN:
Engineering leadership forum
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ARC EXEC:
Invite-only CTO roundtables
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ARC SYSTEMS LAB:
Workshop for Senior Engineers
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ARC INDUSTRY COUNCILS:
ARC Industry specific sessions
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ARC COMMUNITY
Free to Attend Webinars and community intatives

Who Should Attend

ARC is for the engineers who will actually build the Agentic AI era. Not the analysts writing about it, not the vendors selling into it rather the people who sit with the architecture decision at 11pm, who own the on-call rotation, who have to explain to a board why a distributed system behaved the way it did. If that sounds like you, or the team you lead, this conference was designed around the problems you are trying to solve.

ARC is not one event. It is a year-round technical community built around the same principles as the conference which is practitioner-led, peer-reviewed, and focused on what is actually happening in production. Each programme serves a different part of the engineering community.

Your team is asking whether to build with Agentic AI or wait. ARC helps you answer that.

You need to see what Agentic AI looks like at production scale; the governance models, the failure modes, the team structures that work. The CTO roundtables in ARC EXEC are designed for exactly that conversation, with peers making the same calls in the same environment.

The systems you design today will run alongside autonomous agents. What does that change about everything?

Agentic AI introduces non-determinism into systems built on the assumption of predictable behaviour. The architecture track goes deep on the patterns and trade-offs that matter when your system has to trust another system's decisions and when it should not.

Your engineers are upskilling in AI. Are you confident in what they are building toward?

ARC gives engineering leaders a clear view of where production systems are heading so you can make better decisions about team structure, hiring and technical direction before the rest of the market catches up. The conversations here tend to shape the roadmaps that matter twelve months from now.

The talks at ARC are written by engineers for engineers. There is no fluff to sit through.

Every session is peer-reviewed and practitioner-led. You will hear about real systems that failed in instructive ways, real constraints that shaped smart decisions, and real Agentic AI implementations running in production right now; some of them in the city you are sitting in.

Agentic AI does not run on good intentions. It runs on the infrastructure you build.

The platform and infrastructure track covers what it actually takes to run AI agents at scale — the observability, the latency constraints, the compute architecture, and the operational patterns that separate a pilot from a production system with real users depending on it.

The gap between research and production is where the most interesting problems live right now.

ARC bridges research and engineering in a way that most conferences do not. The peer-review process holds academic contributions to the same practical standard as industry presentations. You will find an audience here that takes your work seriously and asks the right questions about it.

No hype. No vendor pitches. Just engineers, building real systems, sharing what they know.

ARC Community