Senior AI/ML Engineer (Enterprise AI & Generative AI Solutions)

rpl international • United State

Relocation

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AI Summary

Build and deploy production-ready AI solutions, generative AI, and agentic systems using Snowflake, AWS, and Python. Design scalable enterprise AI workflows while collaborating with cross-functional teams to drive automation and innovation. Requires 5–6 years of AI/ML engineering experience with deep Snowflake expertise.

Key Highlights

Build and deploy production-ready AI/ML solutions using Snowflake Cortex, Snowpark, and AWS

Design generative AI, LLM, RAG, and agentic AI systems with Python, SQL, and cloud technologies

Collaborate with Data Engineering and business teams to deliver enterprise AI products

Key Responsibilities

Design, develop, deploy, and monitor enterprise AI/ML solutions using Snowflake Cortex and Snowpark

Build and maintain production-ready generative AI, LLM, RAG, and agentic AI applications

Develop and optimize AI workloads using Python, SQL, and AWS cloud services (e.g., Bedrock, SageMaker, ECS)

Support and enhance existing containerized AI applications running on AWS ECS

Translate business requirements into scalable AI solutions and automation workflows

Collaborate with Data Engineering and business teams to deliver enterprise AI products

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Technical Skills Required

Snowflake (Cortex, Snowpark) Python Amazon Web Services (AWS)

Benefits & Perks

Relocation assistance available

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Nice to Have

AWS certifications

Experience with multi-agent AI systems

Background in enterprise AI transformation

Experience in hospitality, travel, or cruise industries

Job Description

This is an exciting opportunity to help build an enterprise AI capability from the ground up, developing production-ready AI solutions, intelligent automation, and agentic AI systems using Snowflake, Generative AI, and AWS technologies.

Position Details