Applied Solutions Architect, Data and AI

Google LLC; Bengaluru; Vor Ort; INR 3.500.000 - 6.000.000; Vollzeit

Zusammenfassung

Google LLC in Bengaluru is seeking an Applied Solutions Architect to lead end-to-end design of data-centric and AI-powered solutions on Google Cloud Platform. You will collaborate with customers to understand challenges, craft scalable architectures, and guide engineers through production readiness with governance and security considerations.

You will mentor team members, promote best practices, and contribute to thought leadership as part of the Google Forge Team, enabling customers to derive

Qualifikationen

• 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 (analytics warehousing, data processing, data transformation, data governance, data migrations, ETL/ELT, SQL, NoSQL, performance or scalability optimizations, or batch vs streaming).
• 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.

Aufgaben

• Lead the design, development, and iterative refinement of data-centric and AI-powered solutions on Google Cloud Platform (GCP).
• 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.

Kenntnisse

Cloud native architecture

Big Data technologies

Customer-facing collaboration

Ausbildung

Bachelor's degree or equivalent practical experience

Jobbeschreibung

Applied Solutions Architect, Data and AI

• 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.

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.
• 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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.