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Snowflake AI Sr. Engineer
Job in
Florham Park, Morris County, New Jersey, 07932, USA
Listed on 2026-07-01
Listing for:
The Brixton Group, Inc.
Full Time
position Listed on 2026-07-01
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Data Engineering
Job Description & How to Apply Below
Location: 100% REMOTE
We are 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, semantic data modeling, and AI agent development, along with experience integrating cloud-native services and modern AI engineering practices.
Requirements:
- 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.
- 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.
- 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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