GCP Cloud Architect

1. Responsibilities:

• Collaborate with stakeholders across the organization to identify opportunities for leveraging Google cloud ML&LLM's to solve complex business challenges.
• Design and architect, scalable, secure and cost-effective cloud-based solutions using appropriate Google cloud services (e.g. Cloud Bigtable, cloud spanner, vertex AI & LLM platform etc.)
• Drive adoption of best practices for machine learning including model development deployment and monitoring on Google cloud platform.
• Champion the exploration and integration of large language models into existing and future solutions to enhance functionalities and capabilities.
• Conduct research and stay abreast of emerging trends in cloud computing ML&LLM's translating theoretical concepts into practical applications for our organization.
• Development and maintain detailed technical documentation for future state architecture decisions and design implementation.
• Partner with engineering teams to implement the designed architecture and ensure proper integration with existing systems.
• Proactively identify and mitigate potential risks and challenges associated with new technologies and architectural transformations.
• Effectively communicate complex technical concepts to diverse audiences fostering collaboration and buying across the organization.

2. Skills and Experience:

• 5+ years of experience in architecting and designing cloud-based solutions.
• Strong understanding of Google cloud platform and its core services.
• Proven experience with machine learning concepts, model development, deployment, and governance.
• Familiarity with large language models and their potential applications in business context.
• Expertise in designing and building distributed systems, data pipelines and event driven architectures.
• Understanding in programming languages like Python and Java
• Experience with NoSQL and relational databases, data streaming platforms and distributed computing frameworks.
• Excellent communication collaboration and problem-solving skills.
• Ability to work independently and as part of a cross functional team.
• Passion for innovation and staying ahead of the curve in the tech landscape.

Bonus:

• Experience with cloud security best practices and compliance requirements.
• Familiarity with specific industry related Google cloud solutions and use cases.
• Demonstrated experience with building and deploying LLMs within real world applications.