Enterprise AI Outcomes Engineer for Cloud & Adoption

Google; Sydney; On-site; AUD 180,000 - 240,000; Full time

Job summary

Google is seeking an AI Outcome Customer Engineer in Sydney to bridge pre-sales and post-sales delivery for strategic AI accounts. You will architect how AI assets integrate into customer IT ecosystems, leading design and technical delivery across data pipelines, identity providers, and governance boundaries.

You will collaborate with Google Cloud's Go-To-Market team to enable adoption, rapid activation, and scalable delivery, while connecting with DeepMind and Vertex AI capabilities to solve

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience with cloud native architecture in a customer-facing or support role.
• Experience with technical delivery strategies and interfacing with product or engineering organizations.
• Experience reading or debugging code in a general purpose coding language (e.g., Java, Python, JavaScript).
• Experience in system design or orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI).
• Experience with enterprise integrations (APIs, enterprise content management (ECMs), identity), cloud infrastructure, or AI/ML model deployments.

Responsibilities

• Partner with Account teams and Practice Customer Engineer (CEs) during technical evaluation phases to assess project feasibility, shape proposals for long-term adoption, and validate FDE engagement requests.
• Lead upfront technical design for enterprise-grade AI solutions, ensuring seamless and secure integration of models, agents, and connectors into existing customer data pipelines, identity providers, and compliance boundaries.
• Dive into code-level context to diagnose and resolve complex customer implementation issues, identify core product bugs, and test workarounds to clear execution roadblocks.
• Serve as the definitive liaison to core Product and Engineering teams, troubleshooting systemic deployment blockers and translating real-world field feedback into actionable feature requests.
• Steer implementation strategy through technical authority and architectural foresight while owning the technical reality of delivery alongside customer-facing teams.

Skills

Cloud native architecture

Customer-facing

Delivery strategies

Code reading/debugging

System design

Orchestration frameworks

Enterprise integrations

APIs

Identity management

AI/ML deployments

Cloud infrastructure

Education

Bachelor's degree or equivalent practical experience

Tools

LangGraph

AutoGen

CrewAI

Job description

Google is seeking an AI Outcome Customer Engineer in Sydney to bridge pre-sales and post-sales delivery for strategic AI accounts. You will architect how AI assets integrate into customer IT ecosystems, leading design and technical delivery across data pipelines, identity providers, and governance boundaries.

You will collaborate with Google Cloud's Go-To-Market team to enable adoption, rapid activation, and scalable delivery, while connecting with DeepMind and Vertex AI capabilities to solve