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Key skills for this role
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.
Minimum Qualifications:
Bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.
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McLean, USA
, USA
New York City, USA
New York City, USA
London, GBR
London, GBR
London, GBR
London, GBR
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.
Preferred Qualifications:
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).
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
Snowflake is a cloud-based data platform that enables organizations to store, manage, and analyze data at scale. The company provides solutions for data warehousing, data lakes, data engineering, and AI/ML workloads across major cloud providers.
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