GCP Cloud Architect
NodeFlair
- England
- Permanent
- Full-time
- 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.
- 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.
- 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.