Applied Solutions Architect, Data and AI

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

Job summary

Google is seeking an Applied Solutions Architect, Data and AI to lead the design and integration of data-centric and AI-powered solutions on Google Cloud Platform. You will collaborate with customers to translate business challenges into scalable data architectures and AI capabilities, while mentoring engineers and advancing enterprise data solutions.

You will drive governance, security sign-off, and production readiness, influencing reusable engineering assets and strategic direction across

Qualifications

• Bachelor's degree or equivalent practical experience.
• 10 years of cloud computing experience with data architecture, analytics and engineering.
• Experience in programming/scripting languages (e.g., Python, Spark).
• Experience building data pipelines for structured and unstructured data with vector databases and RAG-like architectures.

Responsibilities

• Lead design and engineering of data-centric and AI-powered solutions on Google Cloud Platform (GCP).
• Collaborate with customers to understand business challenges and establish trusted relationships.
• Mentor junior team members and foster a culture of innovation and learning.
• Promote best practices and contribute to industry thought leadership through publications and talks.

Skills

Cloud computing

Data architecture

Data analytics

Data engineering

Python

Spark

Vector databases

RAG-like architectures

Knowledge graphs

GQL

Cypher

RDF/OWL

InfoSec governance

LLM evaluation harnesses

Semantic caching

Compute/query optimization

Education

Bachelor's degree in Computer Science or related field

Tools

Google Cloud Platform (GCP)

Job description

Applied Solutions Architect, Data and AI

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.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sydney NSW, Australia; Melbourne VIC, Australia

Minimum qualifications:

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 10 years of experience in cloud computing, with a focus on data architecture, data analytics, and data engineering.
• Experience in programming/scripting languages (e.g., Python, Spark), and developing and deploying data solutions.
• Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.

Preferred qualifications:

• 10 years of experience architecting and delivering large-scale distributed data platforms, cloud-native software, and AI-driven systems in a customer-facing engineering, principal architecture, or technical consulting role.
• Experience designing property/knowledge graphs (GQL, Cypher, RDF/OWL), enterprise semantic catalogs, or multimodal data pipelines that process and index unstructured data alongside tabular data.
• Real-world experience taking data and AI systems through enterprise InfoSec and governance sign-off into production, implementing automated LLM/agent evaluation harnesses, semantic caching, and compute/query optimization for high-concurrency workloads.
• Proven track record of owning multi-stakeholder technical transformations, quantifying architectural trade-offs and building consensus with executives.

About the job

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

The Google Forge Team partners with our most strategic customers to bring their transformative goals to life. In the agentic era, enterprise data architectures must evolve from passive Systems of Intelligence built for human-scale reporting into active, governed "Systems of Action" engineered for agent-scale autonomy.

In this role, you will lead the end-to-end architectural design and engineering of next-generation agentic data platforms—unifying operational and analytical data estates, open multimodal lakehouses, semantic knowledge catalogs, and graph reasoning to ground and scale autonomous AI agents. You will play a key leadership role in driving solutions from initial architecture through enterprise security, governance, and production readiness, while mentoring team members and shaping the strategic direction of our reusable engineering assets.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Lead the design, development, and iterative refinement of data-centric and AI-powered solutions on Google Cloud Platform (GCP), showcasing the potential of data and AI to address specific business needs.
• Collaborate closely with customers to understand their business challenges, technical requirements, and strategic objectives. Build strong, trusted relationships with customers and stakeholders.
• Mentor and guide junior team members, fostering a culture of innovation and continuous learning.
• Establish and promote innovative best practices and methodologies for data-motivated solutions, actively contributing to industry thought leadership through publications, presentations, and community engagement.

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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