Senior AI Platform Engineer: AWS Bedrock & Snowflake Cortex

Jobtailor; California (MO); On-site; USD 150,000 - 210,000; Full time

Job summary

Jobtailor is seeking an experienced software engineer to contribute to the AI intelligence layer, using Python, AWS Bedrock, and Snowflake Cortex. You will architect shared libraries and collaborate with product managers, architects, and other engineers to deliver scalable solutions.

You will maintain documentation, drive standardization, and ensure high operational efficiency across AI projects while engaging with customers to understand their needs and translate them into robust, well-tested

Qualifications

• 7+ years software engineering experience in developing large projects.
• Strong algorithmic problem-solving expertise.
• Strong fundamental programming skills in python with knowledge of ML libraries.

Responsibilities

• Contribute to maintaining, updating, and expanding existing AI intelligence layer encompassing Snowflake Cortex, AWS Bedrock
• Architect, design, and code shared libraries that abstract complex business logic
• Collaborate with product managers, architects, and other engineers
• Contribute to developing and documenting both internal and external standards and best practices
• Ensure high operational efficiency and quality of the AI projects
• Engage with and understand our customers
• Maintain detailed documentation of your work

Skills

Algorithmic problem solving

Strong programming fundamentals

Tools

Python

ML libraries

AWS Bedrock

Snowflake Cortex

Databricks Genie

Airflow

Spark

Databricks

Snowflake

Job description

Jobtailor is seeking an experienced software engineer to contribute to the AI intelligence layer, using Python, AWS Bedrock, and Snowflake Cortex. You will architect shared libraries and collaborate with product managers, architects, and other engineers to deliver scalable solutions.

You will maintain documentation, drive standardization, and ensure high operational efficiency across AI projects while engaging with customers to understand their needs and translate them into robust, well-tested