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Rivac AI Labs
Engineering & Software Development

Multi-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.

This is a capability we deliver for you as a service, not a role we’re hiring for.

How We’d Approach This

A clear, staged plan, not a black box

These are the service-specific steps inside our six-step process.

  1. 1

    Map out what each agent actually needs to know, decide, and hand off, and where trust boundaries should sit.

  2. 2

    Build a pilot pipeline for the highest-risk coordination point to test failure and recovery behavior directly.

  3. 3

    Review failure cases with your team, what happens when an agent errors, disagrees, or times out.

  4. 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.

Read all 6 architectures as text

Lean Fast-Start Architecture

Minimal Agent Set

  • Orchestrator Agent
  • Research Agent
  • Writer Agent
  • Reviewer Agent

Shared Context

  • Shared Scratchpad File
  • Task State Object
  • Checkpoint Saved After Each Step

Sequential Execution

  • Single Task Queue
  • Basic Retry on Failure
  • Manual Log Inspection
  • Final Output
  • Quick Human Spot Check

Cloud-Native / Managed Services Architecture

Managed Orchestration Layer

  • Agent Orchestration Framework
  • Orchestrator Agent

Specialized Agent Pool

  • Research Agent
  • Retrieval Agent
  • Writer Agent
  • Critic Agent

Managed Context Store

  • Shared Memory Store
  • Vector Store for Long Term Context
  • Trust Boundary Validator

Managed Reliability

  • Managed Task Queue Service
  • Automatic Retry With Backoff
  • Dead Letter Queue for Stuck Tasks
  • Cloud Monitoring Dashboard

Event-Driven & Automation-First Architecture

Event Triggers

  • Incoming Task Event
  • Webhook From External System
  • Scheduled Batch Trigger

Event Bus

  • Message Bus
  • Topic per Agent Role

Reactive Agents

  • Planner Agent
  • Executor Agent
  • Validator Agent
  • Recovery Agent

Automated Outcomes

  • Validation Passed
  • Publish Result Event
  • Trigger Recovery Workflow
  • Downstream Consumer Systems

Enterprise-Grade & Compliance-Ready Architecture

Governance Layer

  • Agent Capability Registry
  • Trust Boundary Policy Engine
  • Role Based Permissions per Agent

Controlled Execution

  • Orchestrator Agent
  • Sandboxed Sub Agent Pool
  • Inter Agent Message Validator

Resilience and Recovery

  • Checkpointed State Store
  • Automatic Failure Detection
  • Rollback to Last Checkpoint
  • Redundant Orchestrator Standby

Audit and Compliance

  • Full Decision and Message Audit Log
  • Immutable Log Store
  • Compliance Reporting Dashboard

AI-Augmented, Human-in-the-Loop Architecture

Autonomous Planning

  • Orchestrator Agent Builds Plan
  • Sub Agents Execute in Parallel
  • Aggregator Agent Merges Results

Confidence Assessment

  • Confidence and Disagreement Scorer
  • Confidence Above Threshold

Human Review Gate

  • Human Operator Reviews Merged Output
  • Human Approves Result
  • Human Edits or Redirects Plan
  • Escalation to Senior Reviewer

Gated Delivery

  • Approved Output Released
  • Customer Facing System
  • Feedback Logged for Retraining Agents

Integration-Heavy / Ecosystem-Connected Architecture

External Systems

  • CRM System
  • Internal Knowledge Base
  • Ticketing System
  • Analytics Warehouse

Multi Agent System

  • Orchestrator Agent
  • CRM Agent
  • Knowledge Agent
  • Support Agent
  • Reporting Agent

Trust and Context Layer

  • Context Broker With Trust Boundaries
  • Shared Session State
  • Audit Log of Agent Decisions

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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

Most engagements like this start as a $500–$2,500 pilot, see full pricing.

Questions? Book a free call