{"id":3334109,"url":"https://alion.io/job/google-applied-solutions-architect-data-and-ai-2","title":"Applied Solutions Architect, Data and AI","company":{"id":82,"name":"Google","domain":"google.com","url":"https://alion.io/company/google","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":80,"open_postings":151,"ghost_share":0.046,"stale_share":0.649,"repost_share":0.046,"time_to_fill_p50_days":30,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":35000,"max_usd":61000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":37},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Multimodal AI","optional":false},{"name":"SQL","optional":false},{"name":"Knowledge Graph","optional":true},{"name":"LLM","optional":true},{"name":"LLM Evaluation","optional":true}],"status":"live","first_seen_at":"2026-10-23T16:38:25Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-11-01T00:32:59Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"About the job\nWhen 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.\nThe 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.\nIn 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.\nGoogle 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\nLead 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.\nCollaborate closely with customers to understand their business challenges, technical requirements, and strategic objectives.\nMentor and guide team members, fostering a culture of innovation and continuous learning.\nEstablish and promote innovative best practices and methodologies for data-motivated solutions, actively contributing to industry thought leadership through publications, presentations, and community engagement.\nQualifications\nMinimum qualifications:\nBachelor's degree or equivalent practical experience.\n10 years of experience with cloud native architecture in a customer-facing or support role.\nExperience 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.\nPreferred qualifications:\n10 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.\nExperience designing property/knowledge graphs (GQL, Cypher, RDF/OWL), enterprise semantic catalogs, or multimodal data pipelines that process and index unstructured data alongside tabular data.\nReal-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 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