Job description

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. 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: fujifilm.com 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 We value a professional, adaptable, and collaborative work environment. The following competencies are essential for success in any role and reflect our commitment to effective teamwork, problem solving, and workplace communication. • 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. To all agencies: Please, no phone calls or emails to any employee of Fujifilm about this requisition. All resumes submitted by search firms/employment agencies to any employee at Fujifilm via-email, the internet or in any form and/or method will be deemed the sole property of Fujifilm, unless such search firms/employment agencies were engaged by Fujifilm for this requisition and a valid agreement with Fujifilm is in place. In the event a candidate who was submitted outside of the Fujifilm agency engagement process is hired, no fee or payment of any kind will be paid. 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. 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 (feus.humanresources@fujifilm.com).

Requirements

Must-haves

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
High School diploma or GED and a minimum of 12 years of experience is required.
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.

Nice-to-haves

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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

azureaimlci/cdpythonsqljavascript

Platform: icims
Effort: medium

Benefits

Benefits detected in the listing.

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