Azure AI Cloud Engineer - Enterprise Data & ML Architect

FUJIFILM; Mesa (AZ); On-site; USD 140,000 - 190,000; Full time

Job summary

FUJIFILM Electronic Materials, U.S.A., Inc. in Mesa, AZ is seeking an Azure AI Cloud Engineer to design, implement, and manage cloud infrastructure and AI/ML pipelines within Microsoft Azure.

The role emphasizes integration of Snowflake, ADF, and modern GenAI stacks, plus governance and security across the platform. The ideal candidate has substantial hands-on Azure experience, Snowflake administration, and strong coding skills in Python and SQL.

Qualifications

• Bachelor’s degree in CS or mathematics with 8+ years experience; AS degree with 10+ years acceptable.
• Minimum 5 years in a manufacturing environment.
• Experience with Azure, Snowflake, and data architecture.
• Hands-on AI model development in Snowflake.
• Experience in project management and people management.

Responsibilities

• Design and implement AI/ML pipelines in Azure.
• Develop and optimize ETL/ELT pipelines with ADF and Snowpipe.
• Manage Snowflake compute warehouses, RBAC, and cost governance in Azure.
• Collaborate with data scientists and business stakeholders to scale AI use cases.
• Develop IaC and CI/CD workflows using Azure DevOps and Terraform.
• Lead teams and manage projects from concept to implementation.
• Configure servers and databases; preserve data integrity.

Skills

Azure cloud services

Python

SQL

Snowflake

ETL/ELT pipelines

IaC / Terraform

CI/CD

RBAC security

PowerBI

Data warehousing

Education

Bachelor’s degree in CS or mathematics

AS degree with 10+ years experience

Tools

Azure Data Factory

Azure Synapse

Snowpark

Terraform

LangChain

Vector Databases

Job description

FUJIFILM Electronic Materials, U.S.A., Inc. in Mesa, AZ is seeking an Azure AI Cloud Engineer to design, implement, and manage cloud infrastructure and AI/ML pipelines within Microsoft Azure.

The role emphasizes integration of Snowflake, ADF, and modern GenAI stacks, plus governance and security across the platform. The ideal candidate has substantial hands-on Azure experience, Snowflake administration, and strong coding skills in Python and SQL.