CA-Menlo Park•Publicerad: 21 jan.•Sista ansökan: 17 aug.
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every
function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate
curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for
low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test
emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a
function, but to help redefine the future of how work gets done.
Snowflake redefined the data landscape over a decade ago by building the AI Data Cloud—delivering industry-leading performance and
price at scale across data engineering, analytics, and AI/ML workloads. Every day, new customers begin their journey to Snowflake,
but migrating existing data and applications from legacy platforms remains a complex, high-effort challenge. Customers must adapt
their entire ecosystem—data, database code, ETL pipelines, and consuming applications—to fully realize Snowflake’s value. The
Migrations organization serves as the catalyst for this modernization, building solutions that enable customers and partners to
migrate efficiently and with less risk. Within this charter, the SnowConvert AI team delivers an AI-driven migration product that
moves data-centric applications to Snowflake an order of magnitude faster than industry norms. SnowConvert goes beyond schema and
SQL translation, seamlessly migrating data, code, ETL pipelines, and BI tools by combining AI-based conversion with rigorous
execution-level validation, ensuring that migrated systems are not only syntactically correct, but semantically equivalent to
their source and production-ready on the Snowflake AI Data Cloud
RESPONSIBILITIES:
* The team develops fundamental code conversion techniques, robust data migration and validation pipelines, and automatic testing
components. These capabilities are then leveraged by automated AI agents that process a complete application migration to
Snowflake.
* Develop the foundations that AI agents rely on for fast, consistent code conversion
* This development team sits at the center of the original SnowConvert team, AI team, FDE to deliver the architecture below.
* Careful API design is a must for an ever-changing landscape of AI capabilities.
* Iterating with the FDE team enables quick feedback to prototypes, early products.
OUR IDEAL SOFTWARE ENGINEER WILL HAVE:
* Strong software engineering experience in Python, with a focus on performance, reliability, and distributed systems.
* Hands-on experience building agentic AI applications, especially in domains such as computer control or code gen.
* Track record of contributions to open-source agentic frameworks such as LangChain, AutoGen, etc.
* Deep understanding of distributed systems, API design, and backend architectures.
* High agency—ability to take ownership, navigate ambiguity, and independently push projects forward.
STRONGLY DESIRED:
* Experience with GoLang for high-performance backend services.
* Strong understanding of big data transformation, ETL, and ELT pipelines.
* Proficiency in Spark, Airflow, dbt, Kafka or other data engineering tools.
* Familiarity with streaming architectures, event-driven systems, and async processing.
* Experience optimizing large-scale data pipelines for performance and cost efficiency.
* Former founding engineers who have built and owned significant technical projects are highly valued.
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data.
Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's
duty to keep customer information secure and confidential.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who
share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and
Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits
information: careers.snowflake.com
CA-Menlo Park•Publicerad: 22 maj•Sista ansökan: 17 aug.
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every
function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate
curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for
low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test
emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a
function, but to help redefine the future of how work gets done.
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers who are
energized by the opportunity to reinvent how they work. The Cortex Apps team is building the future of AI for enterprise data, and
this role focuses on the backend infrastructure that powers our flagship products like Snowflake Intelligence, Cortex
Agents, and Search. You won't just be using AI tools; you will be building the high-performance systems that orchestrate them,
making agentic AI fast, reliable, scalable, and secure at the enterprise level.
What you will do in this role:
* Build Agentic Runtimes: Help build and scale the orchestration engines that execute complex agentic workflows, ensuring
low-latency tool execution and robust state management.
* Scale Context Engineering Infra: Develop and design high-performance systems for RAG (Retrieval-Augmented Generation),
including vector database integration, scalable search indexing, query processing, and semantic caching.
* Develop the "Evals Engine": Build the automated infrastructure required to run massive-scale golden set simulations, error
analysis pipelines, and experiments.
* Productionize AI Workflows: Collaborate with the modeling team to take raw LLM capabilities and turn them into hardened,
multi-tenant microservices with strict guardrails and observability.
* Optimize Performance: Implement system optimizations for model routing, prompt caching, and token optimization to ensure
maximum efficiency.
Requirements:
* Education: Bachelor's degree in Computer Science or a related technical field; Masters or PhD preferred.
* Experience: 4+ years of industry experience designing, building, and supporting distributed systems, high-throughput APIs,
machine learning platforms, or data-intensive systems.
* Technical Stack: Deep proficiency in Python (for AI orchestration) and strong experience with Go or Java (for systems).
Familiarity with C++ is a plus.
* Systems Thinking: Strong understanding of database internals, distributed state management, and cloud-native architecture
(e.g., Kubernetes, FoundationDB). Experience setting up and maintaining CI/CD pipelines is a plus.
* Domain Expertise: Familiarity with the "plumbing" of AI, such as vector indices, agent platforms, building scalable data
pipelines, and working with frameworks like PyTorch, TensorFlow, or XGBoost.
* Mindset: A growth mindset and excitement about breaking the status quo by seeking innovative solutions.
(Bonus) Experience with:
* Query optimization and SQL engine internals.
* Designing multi-tenant systems that handle sensitive enterprise data at scale.
* Developing search infrastructure for large-scale applications
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data.
Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee’s
duty to keep customer information secure and confidential.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who
share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and
Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits
information: careers.snowflake.com
CA-Menlo Park•Publicerad: 27 apr.•Sista ansökan: 17 aug.
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every
function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate
curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for
low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test
emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a
function, but to help redefine the future of how work gets done.
The Cortex Apps team is building the future of AI for enterprise data. This role focuses on the backend infrastructure that powers
our flagship products like Snowflake Intelligence, Cortex Agents and Search making agentic AI fast, reliable, scalable and secure
at the enterprise level.
You won’t just be using AI tools; you will be building the high-performance systems that orchestrate them. You’ll own and
influence the architecture for agent execution environments, high-throughput context retrieval, or the ecosystem that allows our
customers to iterate and launch agents in production.
WHAT YOU WILL DO IN THIS ROLE:
* Architect Agentic Runtimes: Build and scale the orchestration engines that execute complex agentic workflows, ensuring
low-latency tool execution and robust state management.
* Scale Context Engineering Infra: Design high-performance systems for RAG (Retrieval-Augmented Generation), including vector
database integration, scalable and efficient search indexing, query processing, and result ranking, semantic caching, and
automated metadata extraction.
* Build the "Evals Engine": Develop the automated infrastructure required to run massive-scale golden set simulations, error
analysis pipelines, and "hillclimbing" experiments.
* Productionize AI Workflows: Collaborate with the modeling team to take raw LLM capabilities and turn them into hardened,
multi-tenant microservices with strict guardrails and observability.
* Optimize Performance & Cost: Direct the infra strategy for model routing, prompt caching, and token optimization to ensure
Snowflake’s AI features are the most efficient in the industry.
REQUIREMENTS:
* Education: Bachelor’s degree in Computer Science or a related technical field.
* Experience: 5+ years of experience building distributed systems, high-throughput APIs, or backend infrastructure for AI/ML
products.
* Technical Stack: Deep proficiency in Go or Java (for systems) and Python (for AI orchestration).
* Systems Thinking: Strong understanding of database internals, distributed state management, and cloud-native architecture
(Kubernetes, FoundationDB, etc.).
* Domain Expertise: Familiarity with the "plumbing" of AI: vector indices, agent platforms, and building scalable data pipelines.
(BONUS) EXPERIENCE WITH:
* Query optimization and SQL engine internals.
* Designing multi-tenant systems that handle sensitive enterprise data at scale.
* Developing search infrastructure for large-scale applications.
* Direct experience with any of the subsystems outlined above.
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data.
Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee’s
duty to keep customer information secure and confidential.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who
share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and
Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits
information: careers.snowflake.com
