[Remote] Snowflake AI Sr. Engineer
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
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