Software Engineer, Applied AI
Навыки
- AI-инструменты в работе
- AWS
- Azure
- Коммуникация
- C++
- Customer Success
- ETL / ELT
Ещё 13
- Google Cloud
- Java
- LLM
- Machine Learning
- MLOps
- Мониторинг и observability
- Ответственность за результат
- Оптимизация производительности
- Решение задач
- Python
- RAG
- SLA
- SQL
О компании и продукте
- 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
Задачи
- you will be deploying it to solve real-world business problems at a massive scale. This role places you at the intersection of product, engineering, and customer success, building production-grade AI systems using Snowflake AI Platform, Cortex, and our native LLM capabilities
- IN THIS ROLE AT SNOWFLAKE, YOU WILL
- Drive Customer Impact: Architect, build, and deploy enterprise-grade AI solutions, including sophisticated AI agents
- Build and iterate on AI pipelines and agents within a team-led engagement from prototype to production, contribute to evaluation frameworks and observability infrastructure most complex business challenges
- Deliver with Velocity: Rapidly design, iterate, and ship high-quality code and ML pipelines
- Translate ambiguous business objectives into robust, scalable, and performant solutions using Python and SQL
- Productionize AI at Scale: Own the full lifecycle of AI solution implementation, from developing prototypes to deploying, monitoring, and optimizing them in secure, large-scale production environments
- Be a Strategic Technical Advisor: Partner directly with customer data science and engineering teams, serving as a technical expert and trusted advisor on how to best leverage AI for their business challenges
- Ensure Operational Excellence: Architect and implement rigorous data validation, maintain strict SLA observability, and manage complex system interdependencies to guarantee reliable AI performance
- Collaborate to Innovate: Work cross-functionally with Snowflake’s Product and Engineering teams to share real-world feedback from the customers, directly influencing the future of Snowflake's AI platform
- Have a real opportunity for growth: Junior/Mid Engineers focus on building
- As you demonstrate engineering judgment, communication, and cross-team impact, you take on progressively larger ownership: first a component, then a workstream, then a customer engagement
- Senior Engineer promotion requires running a scoped customer working session independently and owning a workstream end-to-end - observable, coachable milestones, not a vague seniority bar
- WE'RE LOOKING FOR CANDIDATES WHO HAVE
Требования
- Bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience
- 3+ years of professional software engineering experience
- A passion for tackling complex and ambiguous technical challenges, leveraging cutting-edge research and AI to deliver impactful solutions
- Hands-on experience building and shipping LLM-based or ML applications
- Proven hands-on experience with data modeling, ETL/ELT development, and performance tuning
- Advanced proficiency in Python, Java, C++ or other backend programming languages with experience scripting and automating data workflows
- Excellent problem-solving and communication skills, with an ability to articulate complex technical concepts to diverse stakeholders
- A desire to thrive in a fast-paced, dynamic environment and the ability to adapt quickly to the ever-changing world of Generative AI
- At Snowflake, we are building a high-impact team to help the world’s most innovative companies unlock the power of AI. As a Forward Deployed Engineer, Applied AI in our Cortex AI team, you will be a hands-on builder and a critical technical partner to our most strategic customers, placing you at the forefront of the enterprise AI revolution. You won't just be working with cutting-edge technology
- Proven experience building and production applications using LLMs, especially with technologies like RAG and agentic workflows
- Hands-on experience with the MLOps lifecycle, including model deployment, monitoring, and evaluation in a cloud environment (AWS, Azure, or GCP)
Будет плюсом
- Strong understanding of data warehousing principles, architecture, and best practices
- Experience in a customer-facing role (e.g., solutions architect)
- Startup experience
- WHY JOIN OUR TEAM AT SNOWFLAKE?
- Join us in shaping the future of AI and data cloud technology
- You'll work with cutting-edge AI tools and technologies while solving complex challenges for enterprise customers
- Our team offers the unique opportunity to drive innovation at scale, working with some of the world's leading organizations while having access to Snowflake's advanced AI capabilities and infrastructure
- 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 http://careers.snowflake.com
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- ashbyОсновная публикация · 2026-07-30
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