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Fujifilm

Global precision manufacturer for healthcare

Azure AI Cloud Engineer

Cloud EngineeringConfirmed live in the last 24 hours
Full-timeMesa, AZ, USANo salary listedIn-person

About the Job

Requirements

  • A high school diploma or GED and at least 12 years of experience are required.
  • At least 5 years of experience supporting a manufacturing environment is required.
  • Experience in project management and implementation is required.
  • Experience with people management or mentorship is required.
  • Hands-on experience building AI models in Snowflake is required.
  • Knowledge of DevOps merging and branching is required.
  • Experience developing Power BI or similar reporting tools is required.
  • Experience with business intelligence and data warehousing is required.
  • Proficiency in Microsoft Azure cloud services and cloud data architectures is required.
  • Hands-on coding skills in Python and SQL, and occasional coding in JavaScript or Scala, are required.
  • Experience with Azure Synapse, Azure Data Factory, Snowpark, and modern generative AI application stacks such as LangChain or vector databases is required.
  • Familiarity with data modeling, performance tuning including query optimization and warehouse sizing, and data security frameworks is required.
  • Excellent logical and problem-solving abilities for abstract, creative concepts are required.
  • Resilience, professional communication, reasoning and decision-making, comprehension, and organizational skills are essential.
  • A bachelor's degree in computer science or mathematics and 8 or more years of experience, or an associate degree and 10 or more years of experience, is preferred rather than required.
  • Microsoft training and certification is a strong asset.

Responsibilities

  • Design, implement, and manage cloud-based infrastructure and services within the Microsoft Azure ecosystem.
  • Provide support in Azure architecture, automation, networking, security, and performance optimization.
  • Implement cloud principles, infrastructure as code, DevOps methodologies, and enterprise-grade security standards.
  • Build retrieval-augmented generation pipelines and integrate large language models such as Snowflake Cortex and Azure AI into enterprise data architectures.
  • Design and optimize complex ETL/ELT pipelines for structured and semi-structured data using tools such as Azure Data Factory and Snowpipe.
  • Provision and manage Snowflake compute warehouses, ensuring platform security, role-based access control, and cost governance within the Azure environment.
  • Partner with data scientists, MLOps, and business stakeholders to operationalize AI use cases from proofs of concept to production scale.
  • Develop infrastructure as code and automate workflows using CI/CD pipelines such as Azure DevOps and Terraform.
  • Lead coordination between IT functions and manufacturing needs.
  • Manage large projects from concept through full implementation.
  • Manage team members to meet deadlines and milestones.
  • Configure servers and databases.
  • Preserve data integrity.

About the Company

Fujifilm

Global precision manufacturer for healthcare

Fujifilm is the main operating and manufacturing arm of the Fujifilm group, turning precision chemistry, nanotechnology, and optical engineering from the film era into products for deep tech and life sciences. It runs Bio CDMO facilities that manufacture complex biopharmaceuticals and vaccines, and its materials division makes photoresists and chemical slurries essential to semiconductor and display production. In healthcare, it develops AI-powered imaging devices, endoscopes, and ultrasound systems, while also serving consumers with INSTAX instant photos and X-Series cameras. Its goal is to translate core technical capabilities into reliable, market-ready products across healthcare, electronics materials, and imaging, maintaining leadership in precision manufacturing and applied science.

Company size
501-1,000
Company stage
IPO
Headquarters
Tokyo, Japan
Founded
1934

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