GCP ArchitectGCP Data Architect

Role: GCP Architect/GCP Data Architect

Location: Remote

Duration: 6 Months

Job Description

• Possess 12-15 years of progressive experience in architecting designing and implementing robust data and artificial intelligence solutions specifically within the Google Cloud Platform ecosystem.
• This role operates under a hybrid work model requiring a blend of on-site collaboration and remote work to foster team synergy and project delivery efficiency.

Required Skills:

• Demonstrated expertise in leveraging Claude code for advanced AI development with a proven ability to integrate and optimize its capabilities within complex architectures.
• Mandatory proficiency with Google Antigravity showcasing a strong capability to design and implement solutions utilizing this critical platform component.
• Extensive hands-on experience with OpenAI models including their deployment fine-tuning and integration into enterprise-grade applications for diverse use cases.
• Solid foundational understanding and practical application of Cursor for efficient code generation and development workflows in an AI-centric environment.
• Proven ability to implement and manage solutions utilizing LangChain demonstrating expertise in orchestrating complex language model applications and workflows.
• Strong working knowledge and practical experience with Autogen enabling the development of multi-agent conversational AI systems and automated task execution.
• Proficiency in leveraging LlamaIndex for advanced data indexing and retrieval strategies crucial for enhancing the performance of large language model applications.
• Demonstrated capability in utilizing Semantic Kernel to build intelligent agents and integrate AI services seamlessly into existing applications and platforms.
• Foundational understanding of MCP principles reflecting a broad knowledge base in cloud and enterprise technologies.
• Expertise in designing and implementing Retrieval Augmented Generation (RAG) architectures to improve the accuracy and relevance of AI model outputs by integrating external knowledge sources.
• Comprehensive experience with various Vector Databases including their selection deployment and optimization for efficient similarity search and AI data management.

Job Responsibilities

• Lead the architectural design and implementation of scalable secure and high-performance data and AI solutions on Google Cloud Platform (GCP).
• Drive the strategic vision for leveraging advanced AI/ML capabilities including large language models and generative AI within GCP environments.
• Architect robust data pipelines and machine learning operationalization (MLOps) frameworks to support the full lifecycle of AI models.
• Guide cross-functional teams in adopting best practices for GCP services data governance and AI solution development.
• Oversee the integration of various AI tools and frameworks such as Claude code OpenAI models LangChain AutoGen and LlamaIndex into enterprise solutions.
• Define technical standards and patterns for vector databases and Retrieval Augmented Generation (RAG) architectures to enhance AI model performance and relevance.
• Mentor junior and mid-level architects and engineers fostering their growth in GCP data engineering and AI/ML domains.
• Ensure the security compliance and cost-effectiveness of all GCP-based data and AI infrastructure and applications.
• Collaborate with product management and business stakeholders to translate complex requirements into actionable technical designs and roadmaps.
• Evaluate emerging GCP services and AI technologies recommending strategic adoption to maintain a competitive edge.
• Establish comprehensive monitoring logging and alerting strategies for critical data and AI systems on GCP.
• Drive continuous improvement initiatives for existing data platforms and AI models focusing on performance scalability and reliability.
• Manage the technical delivery of complex data and AI projects ensuring alignment with architectural principles and business objectives.
• Provide expert guidance on the selection and implementation of appropriate GCP services for data storage processing and AI model deployment.

Keywords: Claude Google Antigravity OpenAI Lang chain Autogen