GCP Architect (Data and AI background) - Remote / Telecommute

$75 - $80 per hour

Cynet Systems

United States

Job Title

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 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 GCP environments.
Architect data pipelines and MLOps frameworks to support AI model lifecycles.
Guide teams in adopting best practices for GCP 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 GCP and AI/ML domains.
Ensure security, compliance, and cost-effectiveness of GCP infrastructure.
Collaborate with stakeholders to translate requirements into technical designs.
Evaluate emerging GCP 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.

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Vacancy posted 1 day ago

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