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.