Engineering & Software Development

Autonomous Optimization Architect

Systems that call multiple LLM APIs need to route intelligently between them based on cost, latency, and quality, otherwise you're either overpaying for a frontier model on trivial requests or under-serving complex ones with a cheap one. We design intelligent LLM routing with shadow testing, so new routing rules are validated against real traffic before they affect production, cutting cost without silently degrading output quality. This is for teams running meaningful LLM API spend across multiple providers or models who suspect they're not routing optimally. You get a routing layer with the cost savings measured, not assumed.

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
Analyze current API usage patterns and costs to find where cheaper models could serve requests just as well.
2
Build a pilot routing rule and run it in shadow mode against live traffic without affecting real responses.
3
Review shadow-test results (cost, latency, quality) with your team before promoting the rule to production.
4
Roll out validated routing rules to production with ongoing shadow testing for future rule changes.

What You Get

Deliverables from this engagement

Intelligent LLM routing layer in production
Shadow-testing results validating cost and quality trade-offs
Cost savings report comparing before/after API spend
Routing configuration documented for future model additions

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

Incoming Requests

Incoming LLM Request
Basic Request Classifier
Static Model Pricing Table

Simple Routing Rule

Rule Based Router
Cheap Model Endpoint
Basic Latency Check
Fallback on Timeout
Frontier Model Endpoint

Response Handling

Response Handler
Returned to User

Basic Tracking

Per Request Cost Log
Weekly Cost Review

Cloud-Native / Managed Services Architecture

Client Applications

Application A
Application B

Managed LLM Gateway

Managed LLM Gateway
Multi Provider Pool
Managed Retry and Fallback Policy
Per App Budget Cap

Model Providers

Anthropic API
OpenAI API
Open Source Model Endpoint

Managed Operations

Managed Semantic Cache
Cost and Latency Telemetry
Cost Spike Alert Rule
LLM Observability Dashboard

Event-Driven & Automation-First Architecture

Request Events

Production LLM Request
Scheduled Benchmark Job

Shadow Testing Pipeline

Production Route Call
Shadow Route Call
Automated Result Comparator
Automated Cost Delta Calculation

Routing Automation Engine

Automated Quality Scorer
Automated Routing Rule Tuner
Routing Rule Store

Feedback and Promotion

Rule Promotion Queue
Quality Regression Alert
New Rule Deployed to Production

Enterprise-Grade & Compliance-Ready Architecture

Routing Governance

Data Residency Policy
PII Aware Routing Rule
Approved Provider Allowlist

Governed Routing Engine

Compliance Aware Router
Enforced Encryption in Transit
Region A Provider Endpoint
Region B Provider Endpoint

Redundancy

Primary Provider
Failover Provider
Provider Health Monitor

Audit and Compliance

Routing Decision Audit Log
Provider Data Retention Policy
Compliance Report Export

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

Input Layer

Live Traffic Sample
Per Model Cost Data
Historical Quality Labels

AI Routing Optimizer

AI Routing Decision Model
AI Shadow Test Evaluator
Statistical Confidence Interval
Proposed New Routing Rule

Human Approval Checkpoint

Optimization Architect Review
Approve Rule for Production

Execution Layer

Rule Live in Production
Rule Rejected
Extended Shadow Test Period

Integration-Heavy / Ecosystem-Connected Architecture

Existing Client Stack

Existing Application Backend
Existing Observability Stack
Finance and Billing System

Routing Platform Core

Intelligent Routing Layer
Multi Vendor Provider Adapters

Two Way Integrations

Usage Webhook Back to App
Metrics Export to Observability
Cost Export to Finance
Budget Alert Integration
Vendor Account Sync

LLM Vendor Accounts

Vendor A Account
Vendor B Account

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 Autonomous Optimization Architect

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