Applied Solutions Architect, Data and AI

Technology, Data & Digital · Data, AI & Analytics · Data Science · Software Engineering

In short

Google Cloud is looking for an Applied Solutions Architect, Data and AI in Bengaluru, India. This role involves leading the architectural design and engineering of next-generation agentic data platforms on Google Cloud Platform. The ideal candidate will have at least 10 years of experience in cloud-native architecture and Big Data technologies.

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.
Mentor and guide 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.

Requirements

Bachelor's degree or equivalent practical experience.
10 years of experience with cloud native architecture in a customer-facing or support role.
Experience with Big Data technologies or concepts, such as analytics warehousing, data processing, data transformation, data governance, data migrations, extract, transform, load (ETL), extract, load, transform (ELT), SQL, NoSQL, performance or scalability optimizations, or batch versus streaming.

Desired 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.

Benefits

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.
Equity is granted exclusively and discretionarily by Alphabet Inc.

Skills

GCPBig DataSQLNoSQLETLELTGQLCypherRDF/OWL

#data#AI#cloud#architecture#solutions#big data#GCP

About Google

Innovative Full-Stack Developer | Building Scalable Solutions with Node.js & React

At Google, our mission is to organize the world's information and make it universally accessible and useful. From Search to AI, we develop products and services that improve the lives of billions, empowering individuals and businesses globally. We're driven by a passion for innovation, a commitment to solving complex problems, and a belief in the transformative power of technology. Since our founding in 1998, we've remained dedicated to creating a more helpful and connected world.

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