Solutions Architect, Financial Services, Google Cloud

Google • Chicago, IL

16h

About The Position

The Google Cloud Platform team helps customers transform and build what's next
for their business — all with technology built in the cloud. Our products are
developed for security, reliability and scalability, running the full stack from
infrastructure to applications to devices and hardware. Our teams are dedicated
to helping our customers — developers, small and large businesses, educational
institutions and government agencies — see the benefits of our technology come
to life. As part of an entrepreneurial team in this rapidly growing business,
you will play a key role in understanding the needs of our customers and help
shape the future of businesses of all sizes use technology to connect with
customers, employees and partners.

As a Solutions Architect for Financial Services, you will be at the forefront of
the AI revolution in banking, insurance, and capital markets. You will combine
your technical mastery of Vertex AI, Gemini Enterprise, BigQuery and other
Google Cloud offerings with an understanding of financial industry workflows.
Your role requires a balance of high-level architectural thinking and technical
execution to ensure our most customers build sustainable, data-driven futures on
Google Cloud.

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.

Requirements

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in architectural design and deployment of cloud-based solutions, utilizing BigQuery for data warehousing and analytics.
• Experience in implementing machine learning workflows or generative AI solutions using Vertex AI or similar cloud-native AI platforms.
• Experience working within the Financial Services sector (e.g., banking, insurance, or capital markets).
• Experience in customer-facing role advising stakeholders on data modernization strategies and the integration of AI into core business processes.

Nice To Haves

• Experience in systems design with ability to architect and explain data analytics pipelines and data flows.
• Experience designing and deploying with one or more from the following technologies: TensorFlow, Spark ML, CNTK, Torch, Caffe, Scikit-learn.
• Experience in a statistical programming language like R or Python and applied machine learning techniques (e.g., dimensionality reduction strategies, classification, and natural language processing frameworks).
• Understanding of industry-specific data security or regulatory compliance requirements.
• Excellent communication, presentation and problem-solving skills.

Responsibilities

• Serve as a trusted technical advisor to executive stakeholders at major financial institutions, guiding them through the adoption of Google Cloud AI and data and analytics ecosystems.
• Architect and deploy end-to-end solutions using Vertex AI, Generative AI models, BigQuery and other Google Cloud platform (GCP) offerings to solve financial use cases such as fraud detection, personalized banking, and automated regulatory reporting.
• Lead customers in migrating legacy data warehouses to BigQuery and establishing modern data governance frameworks that ensure security and compliance within the financial regulatory environment.
• Develop proofs-of-concept that showcase the engaged advantages of Google’s AI tools, helping customers realize immediate value from their data assets.
• Partner closely with Business, Product Engineering, and Professional Services teams to align customer requirements with the Google Cloud product roadmap, advocating for features in the AI and analytics space.

Benefits

• bonus
• equity
• benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level