VIOSCo-Creation Workspace

Co-Creation Workspace

Layer 3 / Co-Creation

Where Google and partner agents think together. From signal to scoped proposal in minutes, not weeks.

Session: Project Neon — Vertex AI Scale-Up
Layer 3 — Co-Creation EcosystemShared AI Workspace — Google VMO + GSI Partner Session
AccessGoogle VMO — Full Access (L1 · L2 · L3)GSI Partner — Workspace Access (L3 Only)
v1.2 — 3 revisions in 27 seconds
Statement of Work

Vertex AI APAC Scale-Up — Phase 1

SOW-2026-NEON-001 · Generated by CVMO Co-Creation Engine

Executive Summary

This Statement of Work covers the deployment of a 30-person engineering team to support the scaling of Google Vertex AI inference workloads across the APAC region. The engagement addresses a 340% surge in demand identified by internal demand-signal analysis.

Phase 1 delivers ML engineering, platform architecture, and MLOps capabilities over a 12-month engagement window. BigQuery data pipeline integration is deferred to Phase 2 pending Q3 FY26 review.

Scope of Work

  1. Deploy and optimize Vertex AI inference endpoints across 3 APAC regions
  2. Scale ML model serving infrastructure to handle 340% workload growth
  3. Implement autoscaling and cost-optimization for inference pipelines
  4. Establish platform architecture for multi-region model deployment
  5. ADDED v1.1 MLOps pipeline: model monitoring, drift detection, automated retraining
  6. DEFERRED v1.2 BigQuery data pipeline integration (moved to Phase 2)

Team Composition

RoleCountLocationRate
ML Engineer20Singapore / Bangalore$145/hr
Platform Architect5Singapore$175/hr
Data Engineer3Bangalore$130/hr
NewMLOps Engineer2Bangalore$155/hr
Total303 locations—

Timeline & Milestones

Day 0-30
Team mobilization & onboarding
Month 1-3
Infrastructure assessment & initial scaling
Month 4-8
Full deployment & optimization
Month 9-12
Stabilization, MLOps handover & Phase 2 scoping