Google Cloud Platform Architect (Data and AI background) - Remote / Telecommute

We are looking for Google Cloud Platform Architect (Data and AI background) - Remote / Telecommute for our client in San Jose, CA.

Job Title: Google Cloud Platform Architect (Data and AI background) - Remote / Telecommute

Job Location: San Jose, CA

Job Type: Contract

Job Overview:

Pay Range: $75/hr - $80/hr

Requirement/Must Have:

• This role involves architecting, designing, and implementing robust data and artificial intelligence solutions within the Google Cloud Platform ecosystem.
• 12-15 years of experience in architecting, designing, and implementing data and AI solutions within Google Cloud Platform.
• Demonstrated expertise in leveraging Claude code for advanced AI development.
• Proficiency with Google Antigravity.
• Experience with OpenAI models, including deployment and integration.
• Understanding of Cursor for efficient code generation.
• Experience with LangChain for orchestrating language model applications.
• Knowledge of Autogen for developing conversational AI systems.
• Experience with LlamaIndex for data indexing and retrieval.
• Capability in utilizing Semantic Kernel for building intelligent agents.
• Understanding of MCP principles in cloud technologies.
• Experience in designing Retrieval Augmented Generation (RAG) architectures.
• Experience with various Vector Databases.

Responsibilities:

• Lead the architectural design and implementation of scalable data and AI solutions on Google Cloud Platform.
• Drive the strategic vision for leveraging AI/ML capabilities within Google Cloud Platform environments.
• Architect data pipelines and MLOps frameworks to support AI model lifecycles.
• Guide teams in adopting best practices for Google Cloud Platform services and AI solution development.
• Oversee the integration of AI tools and frameworks into enterprise solutions.
• Define technical standards for vector databases and RAG architectures.
• Mentor junior architects and engineers in Google Cloud Platform and AI/ML domains.
• Ensure security, compliance, and cost-effectiveness of Google Cloud Platform infrastructure.
• Collaborate with stakeholders to translate requirements into technical designs.
• Evaluate emerging Google Cloud Platform services and AI technologies for strategic adoption.
• Establish monitoring, logging, and alerting strategies for data and AI systems.
• Drive continuous improvement initiatives for data platforms and AI models.
• Manage the technical delivery of data and AI projects.

Nice to Have:

• Experience with specific industry verticals such as finance or healthcare.
• Knowledge of other cloud platforms like AWS or Azure.
• Experience with MLOps tools and practices.
• Experience with real-time data streaming and processing.
• Experience with graph databases and analytics.
• Experience with natural language processing and computer vision.