Digital Solutions Engineer – Operational Applications

Global OT & AI Engineering develops the digital platforms that power intelligent operations across Agilent's global manufacturing network.

Our organization combines software engineering, cloud technologies, Artificial Intelligence, enterprise data platforms, industrial automation, and Smart Factory solutions to create scalable digital capabilities that improve operational visibility, accelerate decision-making, and enable continuous improvement.

Our mission is to build the digital operating system for intelligent manufacturing.

Our portfolio includes:

• Global Operations Control Tower

• Enterprise Data Platform (GOLake)

• AI & Decision Intelligence Platform

• Smart Factory Applications

• Operational Applications

• Manufacturing Knowledge Platform

• Digital Twin Solutions

• Enterprise KPI Platform

• AI-powered Digital Coworkers

Operational excellence depends on providing the right information to the right people at the right time.

As a Digital Solutions Engineer – Operational Applications, you will develop applications that connect frontline employees with enterprise systems, operational data, and intelligent services. Whether supporting manufacturing execution, quality inspections, maintenance activities, warehouse operations, engineering workflows, or operational approvals, your applications will help simplify work and improve decision-making across Agilent's manufacturing network.

You'll work closely with multidisciplinary engineering teams to build secure, scalable, and intuitive operational applications that integrate seamlessly with enterprise platforms, AI capabilities, and Smart Factory technologies.

• Design, develop, and maintain modern operational applications that support manufacturing, quality, supply chain, engineering, warehouse, logistics, and operational workflows.

• Build intuitive applications that improve productivity, simplify frontline activities, and enhance user experience.

• Develop reusable application components that accelerate delivery across multiple operational solutions.

• Ensure applications are responsive, secure, accessible, and optimized for operational environments.

• Develop digital work instructions, operational checklists, inspection applications, maintenance workflows, inventory transactions, approvals, and task management solutions.

• Deliver intuitive user experiences that reduce manual effort and improve operational consistency.

• Support offline capabilities and reliable synchronization where network connectivity may be limited.

• Design solutions that enable users to complete operational tasks efficiently across various devices.

• Integrate operational applications with enterprise platforms including SAP, MES, enterprise data platforms, AI services, and backend APIs.

• Collaborate with Platform Engineers to consume secure enterprise services.

• Work with Data Engineers to deliver trusted operational information.

• Embed AI-powered capabilities such as intelligent recommendations, conversational assistants, and contextual insights into operational workflows.

• REST APIs

• GraphQL (preferred)

• SignalR

• Collaborate with business stakeholders to understand operational challenges and user needs.

• Design simple, intuitive workflows that improve adoption and reduce training effort.

• Continuously enhance application usability through user feedback and iterative improvements.

• Promote consistent user experience across operational applications.

• Evaluate emerging technologies that improve operational productivity, including enterprise mobility, wearable devices, barcode and QR technologies, camera integration, voice interaction, and AI-assisted user experiences.

• Prototype innovative digital capabilities that enhance frontline operations and operational efficiency.

• Contribute to Agilent's long-term Operational Applications strategy by identifying opportunities to simplify work through technology.

• Partner with Manufacturing, Supply Chain, Quality, Engineering, and Operational Excellence teams to understand operational requirements and deliver practical digital solutions.

• Collaborate closely with Application Experience Engineers, Platform Engineers, Smart Factory Engineers, Data Engineers, and AI specialists to develop integrated enterprise applications.

• Participate in Agile development, architecture discussions, technical reviews, and continuous improvement initiatives.

You'll have opportunities to work with modern enterprise technologies including:

• Flutter

• React Native

• .NET MAUI

• React

• TypeScript

• Dart

• JavaScript

• C#

• Microsoft Azure

• AWS

• Barcode & QR Code

• Camera Integration

• NFC

• Bluetooth Low Energy (BLE)

• Push Notifications

• Offline Data Synchronization

• SAP ERP

• SAP ME / MES

• Enterprise Data Platform

• AI Services

• Global Operations Control Tower

• GitHub

• Azure DevOps

• CI/CD Pipelines

We welcome candidates across multiple career stages. Responsibilities and technical ownership will be aligned with your experience and demonstrated capability.

You should have:

• Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, Mobile Computing, or a related discipline.

• Experience developing enterprise applications using modern web, mobile, or cross-platform technologies.

• Understanding of RESTful APIs and enterprise application integration.

• Strong problem-solving, analytical, and communication skills.

• Passion for building digital solutions that improve operational efficiency and user productivity.

Experience in one or more of the following areas is advantageous:

• Flutter, React Native, .NET MAUI, or other cross-platform development frameworks.

• Enterprise mobility and offline-first application development.

• User-centered design and operational workflow optimization.

• Manufacturing, warehouse, supply chain, or industrial applications.

• AI-enabled user experiences and intelligent assistants.

• Cloud-native application development.

• Industry 4.0, Smart Manufacturing, or Connected Worker technologies.