GCP Architect
New Jersey State
Full Time
1 hour ago
H1B Sponsor Likely
Key skills
AIMachine LearningMLGenerative AILarge Language ModelsOpenAIClaudeRAGLangChainLlamaIndexAutoGenMLOpsData EngineeringGCPGoogle CloudMentoringProduct Management
About this role
Quantum Integrators is seeking a GCP Architect to lead the architectural design and implementation of data and AI solutions on Google Cloud Platform. The role involves driving AI/ML capabilities, mentoring teams, and ensuring the security and efficiency of GCP-based infrastructures.
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