At a Glance
- Tasks: Design and implement AI solutions, troubleshoot technical issues, and collaborate with engineering teams.
- Company: Join Google Cloud, a leader in tech innovation and inclusivity.
- Benefits: Competitive salary, diverse workplace, and access to cutting-edge AI technologies.
- Other info: Dynamic role with opportunities for growth and collaboration with top engineers.
- Why this job: Be at the forefront of the AI revolution and make a real impact on businesses worldwide.
- Qualifications: Bachelor's degree, 5 years in cloud architecture, and coding experience required.
The predicted salary is between 135000 - 165000 $ per year.
At Google, we have a vision of empowerment and equitable opportunity for all Aboriginal and Torres Strait Islander peoples and commit to building reconciliation through Google's technology, platforms and people and we welcome Indigenous applicants.
Please see our Reconciliation Action Plan for more information.
- Minimum 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, Java Script).
- Experience in system design or orchestration frameworks (e. g., Lang Graph, Auto Gen, Crew AI).
- Experience with enterprise integrations (APIs, enterprise content management (ECMs), identity), cloud infrastructure, or AI/ML model deployments.
- Preferred qualifications
- Experience diving deep into novel technical problems, deciphering ambiguity, diagnosing bugs, and emerging with credible architectural solutions.
- Experience orchestrating specialized technical resources to execute complex builds.
- Experience engaging with, presenting to, and influencing technical stakeholders or executive leaders.
- Excellent executive communication skills, capable of translating deep technical integration issues into business impact.
About The Job
As an AI Outcome Customer Engineer, you work as an enterprise architect, technical debugger, engineering liaison and technical delivery manager.
You will bridge the gap between pre-sales agreement shaping and post-sales execution.
Entering the agreement cycle during the technical evaluation phase for strategic AI accounts, you will ensure that solutions are shaped strictly through the lens of adoption, rapid activation, and viable delivery.
Aligned with our Forward Deployed Engineering (FDE) organization, you will architect how these technical assets actually integrate into the customer's IT ecosystem (connectors, identity, data residency, legal constraints).
It's an exciting time to join Google Cloud's Go-To-Market team, leading the AI revolution for businesses worldwide.
You'll excel by leveraging Google's brand credibility-a legacy built on inventing foundational technologies and proven at scale.
We'll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems.
We're a collaborative culture providing direct access to Deep Mind's engineering and research minds, empowering you to solve customer challenges.
Join us to be the catalyst for our mission, drive customer success, and define the new cloud era - the market is yours.
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.
Google is proud to be an equal opportunity workplace and is an affirmative action employer.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
See also Google's EEO Policy and EEO is the Law.
If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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AI Outcome Customer Engineer in Sydney employer: Google
At Google, we pride ourselves on being an exceptional employer, particularly for the role of Enterprise AI Outcomes Engineer in Sydney. Our vibrant work culture fosters innovation and collaboration, providing employees with ample opportunities for professional growth and development. With access to cutting-edge technology and a commitment to employee well-being, we empower our team to make a meaningful impact in the world of AI and cloud solutions.
