Google Cloud Platform Architect (Data and AI background) - Remote / Telecommute
CYNET SYSTEMS INC.
San Jose, United States of America
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
$ 166KJob location
Remote
San Jose, United States of America
Tech stack
Clean Code Principles
Artificial Intelligence
Amazon Web Services (AWS)
Computer Vision
Azure
Cloud Computing
Cursor (Graphical User Interface Elements)
Graph Database
Machine Learning
Natural Language Processing
Data Logging
Google Cloud Platform
Generative AI
Indexer
Data Management
Machine Learning Operations
Virtual Agents
Stream Processing
Data Pipelines
Job description
- 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.
Requirements
- 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., * 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.