Rivac LabsMulti-Agent Systems Architect
Multi-agent systems fail in ways single-model applications don't — agents lose shared context, one agent's error propagates silently through the pipeline, or two agents disagree with no mechanism to resolve it. We design the topology, context-passing, trust boundaries, and failure-recovery logic for agentic systems so these failure modes are handled explicitly instead of discovered in production. This is the right service once you're moving past a single-agent proof of concept into a system where multiple agents genuinely need to coordinate on a task. You get an architecture with defined agent responsibilities and recovery paths, not a chain of prompts held together by hope.
How We’d Approach This
A clear, staged plan — not a black box
- 1
Map out what each agent actually needs to know, decide, and hand off, and where trust boundaries should sit.
- 2
Build a pilot pipeline for the highest-risk coordination point to test failure and recovery behavior directly.
- 3
Review failure cases with your team — what happens when an agent errors, disagrees, or times out.
- 4
Implement the full topology with logging and recovery paths that make failures visible instead of silent.
What You Get
Deliverables from this engagement
- Documented multi-agent architecture and topology diagram
- Working agent pipeline with defined handoff contracts
- Failure-recovery logic tested against real failure scenarios
- Observability into agent decisions and inter-agent communication
Six Ways We Could Architect This
Different engagement, different build — pick the shape that fits
There’s more than one way to deliver on this service. Browse a few of the ways we’d structure the work, depending on your speed, budget, and integration needs.
Ready to get started?
Tell us what you’re trying to get done and we’ll help you find the highest-leverage place to start — scoped small enough to prove itself before you commit to anything bigger.
Talk to us about Multi-Agent Systems Architect