Staff Engineer - Snowflake AI Engineer

Posted Yesterday
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Easton, PA, USA
In-Office
Senior level
Artificial Intelligence • Information Technology • Machine Learning • Software • Virtual Reality • Analytics
The Role
Design and build GenAI solutions on Snowflake Cortex, including LLM functions, semantic search, vector/RAG, and conversational analytics. Develop Snowflake data models and Snowpark pipelines using SQL and Python, enforce governance and RBAC, integrate structured/unstructured data, support POCs and enterprise rollouts, and document secure, responsible GenAI implementations.
Summary Generated by Built In
Company Description

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work on a scale across all devices and digital mediums, and our people exist everywhere in the world (17000 plus experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

Job Description

Role - Snowflake AI Engineer
Location - Easton, PA
Employment type - Fulltime
Work Model - Onsite (5 days a week work from office)

Job Overview:

  • Design and implement AI-powered data solutions using Snowflake Cortex (LLM functions, Cortex Analyst, Cortex Search, Document AI).
  • Build natural-language and conversational analytics (text-to-SQL, self-service BI) on Snowflake.
  • Develop and optimize Snowflake data models, semantic layers, and analytics-ready structures.
  • Integrate structured and unstructured data (documents, text, logs) for GenAI use cases Implement semantic search, vector/RAG patterns, and AI agents within Snowflake’s governed environment.
  • Use SQL and Python (Snowpark) to operationalize AI/ML workflows.
  • Enforce data security, governance, RBAC, and compliance for AI-enabled solutions.
  • Collaborate with business, data, and AI teams to translate requirements into production solutions.
  • Support POCs, pilots, and enterprise rollouts of Snowflake Cortex capabilities.
  • Document solutions and provide guidance on responsible and secure use of GenAI within Snowflake.

Qualifications

Must have skills: 
Minimum 6 years of experience in Snowflake.

Additional Information

Disclaimer: Nagarro is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will be afforded equal employment opportunities without discrimination based on race, creed, color, national origin, sex, age, disability, or marital status.

Skills Required

  • Minimum 6 years of experience in Snowflake.
  • Experience with Snowflake Cortex (LLM functions, Cortex Analyst, Cortex Search, Document AI).
  • Proficiency in SQL.
  • Proficiency in Python and Snowpark.
  • Experience implementing semantic search, vector/RAG patterns, and AI agents in Snowflake.
  • Experience integrating structured and unstructured data for GenAI use cases.
  • Knowledge of data security, governance, RBAC, and compliance for AI solutions.
  • Ability to collaborate with business, data, and AI teams and support POCs, pilots, and enterprise rollouts.

Nagarro Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nagarro and has not been reviewed or approved by Nagarro.

  • Pay Growth & Progression Compensation is at times described as competitive, with salary hikes and perks occurring on certain occasions. Better growth opportunities and compensation are also positioned as an advantage versus other service-based companies.
  • Flexible Benefits Work arrangements are framed around a “work-from-anywhere” mindset with flexitime and family-friendly working models. This flexibility appears to add meaningful value to the overall rewards package for many roles.
  • Healthcare Strength Medical, dental, and vision coverage are described as available for employees and dependents, alongside life insurance. Mental-health support is also included via an Employee Assistance Program (EAP).

Nagarro Insights

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The Company
19,994 Employees
Year Founded: 1996

What We Do

Nagarro helps future-proof your business through a forward-thinking, fluidic, and CARING mindset. We excel at digital engineering and help our clients become human-centric, digital-first organizations, augmenting their ability to be responsive, efficient, intimate, creative, and sustainable. Today, we are 19,000 experts across 36 countries, forming a Nation of Nagarrians, ready to help our customers succeed.

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