# Forward Deployed Engineer, Applied AI

**Company**: Snowflake
**Location**: Warsaw
**Work arrangement**: onsite
**Experience**: mid
**Job type**: Full time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.ashbyhq.com/snowflake/467250b0-43bc-47aa-91d5-6312687e4097?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_2449b554-2e3

## Description

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.

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.

## 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.

## WE'RE LOOKING FOR CANDIDATES WHO HAVE:

Minimum Qualifications:

- 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.

**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.

## Skills

### Required
- Python
- SQL
- LLM-based applications
- data modeling
- ETL/ELT development
- performance tuning
- Java
- C++
- backend programming languages
- scripting
- automating data workflows
- problem-solving
- communication skills

### Nice to have
- LLMs
- RAG
- agentic workflows
- MLOps lifecycle
- model deployment
- monitoring
- evaluation in a cloud environment
- data warehousing principles
- architecture
- best practices
- solutions architect
- startup experience

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Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/snowflake/467250b0-43bc-47aa-91d5-6312687e4097?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)