The MENA region's most important engineering decisions are being made right now. Agentic AI is moving from government strategy into live production systems and the architects, engineers and technology leaders building those systems need somewhere to compare notes, share what is working and be honest about what is not.
That is what ARC is. A practitioner-led, vendor-neutral conference for the senior software engineers, architects and technology leaders shaping how modern systems are designed and operated.
Every session earns its place through peer review. Every speaker is a practitioner. What you hear here comes from engineers who have actually done it.
12 - 14 January 2027 | Abu Dhabi, UAE
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
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
aboutConference Themes
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
Scientific Committee
The ARC programme is shaped by a Scientific Committee of researchers and practitioners from institutions across the UAE, Saudi Arabia, Qatar, France, Italy and the United Kingdom, peer-reviewing every session to ensure what reaches the stage is worth your time.
Chair of Scientific Committee
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.
The ARC Ecosystem
ARC NEXT:
ARC WOMEN:
ARC EXEC:
ARC SYSTEMS LAB:
ARC INDUSTRY COUNCILS:
ARC COMMUNITY
Why Attend ARC
ARC is a first edition. It does not have years of alumni telling you it is worth your time. What it does have is a clear reason to exist, a peer-reviewed programme built by practitioners, and a moment in the MENA region that makes January 2027 in Abu Dhabi exactly the right time and place for this conversation to happen.
These are the reasons it was built the way it was.
Learn from Real
Production Systems
Understand
Architecture Decisions
Navigate Agentic
AI in Production
Engage with
Senior Practitioners
Insights to Build
Scalable Systems
Be Part of a
Regional Moment
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.
CTO and Technology Leader
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.
Software Architect
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.
Engineering Manager and Director
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.
Senior Software Engineer
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.
Platform, Cloud and AI Engineer
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.
Researcher and Applied Scientist
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
Not ready to commit to January yet? Join the ARC Community for free monthly webinars and other engagements, no ticket required
The UAE is rewriting how governments operate through Agentic AI, and the engineering decisions being made right now will define how that works for a generation. The ARC community is where the practitioners involved in that work share what they are learning.
Join us for monthly technical insights, speaker announcements as they are confirmed, and real engineering from people who are building in production, before any of it reaches a conference stage.
No digest-of-digests. Nothing you did not ask for.








