Senior Azure AI Cloud Engineer: AI Data & MLOps Lead

FUJIFILM Electronic Materials U.S.A., Inc.; Mesa (AZ); On-site; USD 120,000 - 180,000; 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-based infrastructure in Microsoft Azure.

The role focuses on AI/ML integration, data pipelines, and secure, scalable architectures within Enterprise data environments. You will work with Snowflake, Azure Data Factory, and modern GenAI stacks to build robust RAG solutions, automate CI/CD, and lead cross-functional projects from concept to production, while ensuring

Qualifications

• Experience designing and implementing RAG pipelines with LLMs.
• Experience with ETL/ELT pipelines using Azure Data Factory and Snowpipe.
• Proficiency with Snowflake administration, RBAC, and cost governance.
• Strong Python and SQL coding skills; some JavaScript/Scala.
• Experience in manufacturing environment is a plus.

Responsibilities

• Design and implement RAG pipelines integrating LLMs into enterprise data architectures.
• Develop and optimize ETL/ELT pipelines with Azure Data Factory and Snowpipe.
• Provision and manage Snowflake compute warehouses with security and cost governance.
• Collaborate with data scientists and stakeholders to productionize AI use cases.
• Develop IaC and automation with CI/CD using Azure DevOps and Terraform.
• Lead project management and team coordination across IT and manufacturing.
• Configure servers and databases; preserve data integrity.

Skills

Python

SQL

Azure cloud services

DevOps practices

CI/CD

RBAC

Data modeling

Problem solving

Attention to detail

Education

Bachelor’s degree in computer science or mathematics

AS degree in related field

Tools

Azure Data Factory

Snowpipe

Snowflake

Azure Synapse

Snowpark

Terraform

Azure DevOps

LangChain

Vector Databases

PowerBI

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-based infrastructure in Microsoft Azure.

The role focuses on AI/ML integration, data pipelines, and secure, scalable architectures within Enterprise data environments. You will work with Snowflake, Azure Data Factory, and modern GenAI stacks to build robust RAG solutions, automate CI/CD, and lead cross-functional projects from concept to production, while ensuring