Note: The job is a remote job and is open to candidates in USA. The Brixton Group is seeking an experienced Snowflake AI Engineer / Architect to design, build, and optimize AI-powered data platforms using Snowflake's AI capabilities. The ideal candidate will have deep expertise in Snowflake architecture and AI agent development, working on enterprise-scale solutions.

Responsibilities

• Architect and implement enterprise-scale Snowflake data platforms and AI solutions
• Design and optimize Snowflake architecture, including data modeling, semantic views, and performance tuning
• Develop, configure, and manage Snowflake AI Agents for intelligent data interaction and automation
• Design AI agent workflows, prompt strategies, and Retrieval-Augmented Generation (RAG) integration where applicable
• Establish AI testing, validation, and verification frameworks to ensure accuracy, reliability, and safety of AI outputs
• Implement AI observability, monitoring, logging, evaluation metrics, and continuous improvement strategies
• Build scalable integration patterns using AWS API Gateway, AWS Lambda, and cloud-native services
• Develop secure APIs and services that integrate Snowflake AI capabilities with enterprise applications
• Collaborate with Data Engineering, Analytics, and Business teams to translate business requirements into scalable AI-driven solutions
• Implement CI/CD pipelines, version control, and automated deployment strategies for AI applications
• Utilize data orchestration tools such as Apache Airflow to manage data pipelines and AI workflows
• Optimize solution performance, scalability, security, and cost efficiency
• Mentor engineering teams on AI engineering best practices, Snowflake architecture, and cloud-native development
• Leverage AI-assisted development tools such as Claude, Codex, Cursor, and VS Code AI extensions to accelerate development while maintaining engineering quality

Skills

• Strong experience with Snowflake Architecture and enterprise data platform design
• Expertise in Snowflake Data Modeling and Semantic Views
• Hands-on experience building and deploying Snowflake AI Agents
• Experience designing AI agent architectures, tuning, testing, monitoring, and validation
• Strong understanding of AI testing, verification, evaluation frameworks, and observability
• Experience integrating AI solutions using: AWS API Gateway, AWS Lambda
• Strong SQL and data engineering fundamentals
• Experience with Git, version control, branching strategies, and code reviews
• Experience implementing CI/CD pipelines
• Experience with data orchestration tools such as Apache Airflow
• Strong understanding of cloud-native architecture and distributed systems
• Node.js development experience
• Experience with D3.js for data visualization
• Tailwind CSS for modern UI development
• Experience using VS Code with AI coding assistants and frontier AI models such as: Claude, Codex, Cursor
• Rapid prototyping of AI applications and proof-of-concepts
• Experience with modern visualization frameworks and interactive dashboards

Company Overview

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