Job description

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.

Required profile