Azure AI Cloud Engineer

FUJIFILM Electronic Materials U.S.A., Inc.; Mesa (AZ); Presencial; USD 120.000 - 180.000; Jornada completa

Descripción de la vacante

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

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Python

SQL

Azure cloud services

DevOps practices

CI/CD

RBAC

Data modeling

Problem solving

Attention to detail

Educación

Bachelor’s degree in computer science or mathematics

AS degree in related field

Herramientas

Azure Data Factory

Snowpipe

Snowflake

Azure Synapse

Snowpark

Terraform

Azure DevOps

LangChain

Vector Databases

PowerBI

Descripción del empleo

FUJIFILM Electronic Materials, U.S.A., Inc., is a global leader in chemical solutions which enable the semiconductor industry and the digital universe. We have an exciting opportunity at our Mesa, AZ facility for an Azure AI Cloud Engineer!

The Role

The Azure AI Cloud Engineer designs, implements, and manages cloud-based infrastructure and services within the Microsoft Azure ecosystem. Provides support in Azure architecture, automation, networking, security, and performance optimization. Implements strong cloud principles, Infrastructure-as-Code (IaC), DevOps methodologies, and enterprise-grade security standards.

Company Overview

FUJIFILM Electronic Materials, U.S.A. fuels innovation in the semiconductor industry-where chemistry meets technology. Our advanced materials and formulations enable manufacturers to build the microchips that power Artificial Intelligence, computers, electric vehicles, smartphones, and more.

We’re a global business-to-business supplier of chemical formulations and advanced materials used for manufacturing and packaging semiconductors. Our chemical formulations allow top manufacturers to produce microchips that both power and connect our digital world. Think you’ve got what it takes to build a more connected world? Then connect with us today and challenge the boundaries of what’s possible—for the world and your future.

We have six U.S. manufacturing and Research & Development facilities, located in: Mesa, Arizona; Castroville, California; Hollister, California; Carrollton, Texas; and North Kingstown, Rhode Island—each offering unique local experiences, from vibrant cultural scenes to historic charm.

Fujifilm is globally headquartered in Tokyo with over 70,000 employees across four key business segments of healthcare, electronics, business innovation, and imaging. We are guided and united by our Group Purpose of "giving our world more smiles." Visit: https://www.fujifilm.com/us/en/about/region/careers

Job Description

Key responsibilities for this role include:

• AI & ML Integration: Build retrieval-augmented generation (RAG) pipelines and integrate Large Language Models (LLMs) like Snowflake Cortex and Azure AI into enterprise data architectures.
• Pipeline Development: Design and optimize complex ETL/ELT pipelines for structured and semi-structured data using tools like Azure Data Factory and Snowpipe.
• Snowflake Platform Administration: Provision and manage Snowflake compute warehouses, ensuring platform security, RBAC (Role-Based Access Control), and cost governance within the Azure environment.
• Cross-Functional Collaboration: Partner with Data Scientists, MLOps, and business stakeholders to operationalize AI use cases, from proofs-of-concept (POCs) to production scale.
• Automation & CI/CD: Develop infrastructure-as-code (IaC) and automate workflows using CI/CD pipelines (e.g., Azure DevOps, Terraform).
• Leadership & Project Management: Lead team coordination between IT functions and manufacturing needs. Manage large projects from concept to full implementation. Manage team members to meet deadlines and milestones.
• Configuring servers and databases
• Preserving data integrity

Requirements

• High School diploma or GED and a minimum of 12 years of experience is required.
• Bachelor’s degree in computer science or mathematics and 8 plus years of experience or an AS degree and 10 plus years of experience is preferred.
• A minimum of 5 years of experience supporting a manufacturing environment.
• Experience in project management and implementation.
• Experience with people management/mentorship.
• Hands-on experience with building AI models in Snowflake.
• Devops merging and branching knowledge required.
• PowerBI or similar reporting tool development experience.
• Experience working with Business Intelligence and Data Warehousing.
• Proficiency in Microsoft Azure cloud services, and cloud data architectures.
• Strong hands-on coding skills in Python, SQL, and occasionally JavaScript or Scala.
• Experience with Azure Synapse, Azure Data Factory, Snowpark, and modern GenAI application stacks (like LangChain or Vector Databases).
• Familiarity with data modeling, performance tuning (query optimization and warehouse sizing), and data security frameworks.
• Excellent logical and problem-solving abilities for abstract, creative concepts.
• Microsoft training and certification will be considered a strong asset.
• Self-motivated and self-directed.
• Very high attention to detail.

Additional Requirements

• Resilience - Ability to adapt to workplace challenges, maintain professionalism, and manage responsibilities effectively.
• Communication - Capacity to clearly and professionally exchange ideas, interact respectfully with colleagues and customers, and foster positive workplace relationships.
• Reasoning & Decision Making - Ability to analyze information, follow verbal and written instructions, and make logical, sound decisions.
• Comprehension - Capability to understand and complete tasks as assigned and solve problems effectively.
• Organizational Skills - Competence in managing multiple priorities, maintaining accuracy, and staying focused despite potential workplace distractions.

EEO Information

Fujifilm is committed to providing equal opportunities in hiring, promotion and advancement, compensation, benefits, and training regardless of nationality, age, gender, sexual orientation or gender identity, race, ethnicity, religion, political creed, ideology, national, or social origin, disability, veteran status, etc.

ADA Information

If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to our HR Department ([e-mail]).