Minimum qualifications:

• Bachelor's degree in Computer Science, a related software engineering field, or equivalent practical experience.
• 5 years of experience in solution engineering or architecture, and experience with stakeholder management, professional services, or technical consulting.
• Experience architecting and deploying enterprise-grade cloud data platforms, incorporating both streaming and batch processing workflows.
• Experience with Large Language Models (LLMs), AI development kits, enterprise AI platforms, and other cloud-based artificial intelligence products.
• Experience in Python, Scala, R, or similar, and with data structures, algorithms, and software design.
• Ability to travel up to 30% of the time as required.

Preferred qualifications:

• Experience working with recommendation engines, data pipelines, or distributed machine learning.
  
• Experience with Gemini models, ADK, Gemini Enterprise and other google AI products.
• 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.

About the job

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 Cloud Platforms and Data and AI Consultant, you will play a critical role in helping Google Cloud clients in Sub-Saharan Africa modernize their infrastructure and achieve their business objectives through successful cloud adoption. You will be a technical leader and trusted advisor, driving complex migration projects and contributing to the growth of the Google Cloud ecosystem.

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.

The Google Cloud Platform team helps customers transform and evolve their business through the use of Google’s global network, web-scale data centers and software infrastructure. Our teams are dedicated to helping our customers, developers, small and large businesses, educational institutions and government agencies through their digital transformation journey. 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 using technology to connect with customers, employees and partners.

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 (GCP).
• Provide expert guidance on architectural data strategies to ensure optimized utilization across AI models.