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Secunderabad · On-site · 5-8 Yrs · Oct 30
1 views
5 open roles1 posted in 7d5 in 30d
Hiring: Engineering
Job description
Overview
In most instances, this position requires in-person interviews as part of the hiring process.
Responsibilities
- Provide expert advisory on architectural frameworks and operational best practices for comprehensive Agentic platforms, encompassing deployment, monitoring, evaluation, governance, and security protocols.
- Lead comprehensive artificial intelligence initiatives through strategic thought leadership, while identifying agentic workflows and designing robust architectural solutions for advanced agentic implementations.
- Deliver effective big data and machine learning solutions and solve complex technical customer challenges.
- Identify new product features and feature gaps, provide guidance on existing product challenges, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform.
- Provide expert guidance on architectural data strategies to ensure optimized utilization across different AI models. Deliver best practices recommendations, tutorials, blog articles, and technical presentations adapting to different levels of key business and technical stakeholders.
Qualifications
- Bachelor's degree in Computer Science or equivalent practical experience.
- Experience architecting and deploying enterprise-grade cloud data platforms, incorporating both streaming and batch processing workflows.
- Experience writing software in Python, Scala, R, or similar.
- Experience with Gemini models, ADK, Gemini Enterprise, and other google AI products.
- 5 years of experience working with recommendation engines, data pipelines, or distributed machine learning.
- Experience with data analytics, data visualization techniques and software, and deep learning frameworks.
- Experience with core data science techniques.
- Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments.
- Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks.
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Job application FAQ
Last updated 6 November 2026
- How do I apply for Cloud Engineer, Data and AI at Google India?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Google India may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Cloud Engineer, Data and AI role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Cloud Engineer, Data and AI remote or on-site in Secunderabad, Telangana?
- This listing is marked on_site with location Secunderabad, Telangana. Confirm details on the job description before applying.
- What skills matter for this Cloud Engineer, Data and AI role at Google India?
- This is a mid-level Cloud Engineer, Data and AI role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.