Jobs at Agilent Technologies

Lead frontend engineer responsible for designing, building, and supporting Agilent.com experience-layer capabilities using AEM, DA.live, EDS, and Adobe Forms. Deliver reusable DA.live Blocks, integrate with content/catalog/personalization services, ensure performance, accessibility, SEO, and global scale. Act as technical product owner within a POD, mentor engineers, participate in agile delivery, CI/CD, testing, and production support.

Leads manufacturing, technical operations, and quality investigation functions for a biopharmaceutical and pharmaceutical manufacturing business. Owns operational and financial performance, capacity planning, manufacturing readiness, regulatory compliance, continuous improvement, customer partnerships, and organizational development. Drives scalable growth, operational excellence, quality, productivity, cost control, and leadership-team effectiveness across a regulated manufacturing environment.

Leads the global design, governance, documentation, standardization, and optimization of end-to-end HR Operations processes. Partners with HR Centers of Excellence and Operations teams to establish process frameworks, improve consistency and scalability, and identify AI and automation opportunities. Oversees workflows across workforce administration, onboarding, leave, separations, offboarding, and workforce management while monitoring global process performance and influencing stakeholders across a matrixed organization.

Leads SAP S/4HANA solution architecture and ERP transformation initiatives across procurement, materials management, source-to-pay, integrations, BTP extensions, and enterprise architecture. Owns SAP BTM tools including LeanIX, Signavio, Cloud ALM, Tricentis, and Syniti. Guides data migration, archiving, governance, testing, application rationalization, and clean-core adoption while partnering with business stakeholders, project teams, system integrators, and technology teams.

Owns global payroll delivery, statutory compliance, controls, vendor management, and service standards across all regions. Leads global payroll and time-tracking consolidation, including operating-model design, technology selection, country deployments, governance, and change management. Establishes AI and automation strategies to improve accuracy, reduce manual work, and strengthen preventive controls. Manages distributed payroll leadership teams and partners with Finance, Tax, Legal, Treasury, HR Technology, auditors, and regulators.

Supports packaging and filling operations by assembling kits, packing components, labeling containers, handling liquids, operating semiautomated equipment, verifying product and label accuracy, maintaining production records and inventories, and performing quality inspections. The role also includes housekeeping, materials handling, temperature-controlled packing, ERP data entry, and adherence to safety, PPE, and lean manufacturing practices.

Supports packaging and manufacturing operations by assembling and packing products, operating filling and labeling equipment, handling liquids, verifying labels and measurements, maintaining production records and inventory, monitoring temperature requirements, performing quality checks, and maintaining housekeeping standards. The role also assists with materials handling, ERP data entry, kit assembly, bulk filling, and general department operations while following PPE and safety requirements.

Manufactures and tests FISH/CISH test probes and laboratory reagents in a regulated production environment. Coordinates sample manufacturing and testing to meet deadlines, troubleshoots technical issues, answers product questions, identifies process improvements, and maintains 5S and Lean Manufacturing standards.

Develop scalable backend services, enterprise APIs, microservices, integration platforms, and cloud-native applications connecting enterprise systems, manufacturing operations, AI platforms, and cloud services. Responsibilities include API-first and event-driven integration, containerized deployments, CI/CD, security, observability, reliability, and performance optimization. The role collaborates with software, data, AI, and smart factory engineering teams to deliver reusable platform capabilities for intelligent manufacturing.

Designs and evolves enterprise data architecture supporting global manufacturing, supply chain, procurement, logistics, quality, and engineering operations. Defines data models, integration patterns, governance standards, metadata, lineage, and reusable data products across enterprise systems and cloud platforms. Partners with engineers, architects, AI specialists, governance teams, and business leaders to enable analytics, AI, digital twins, reporting, and smart manufacturing initiatives.

Develop machine learning, statistical, optimization, computer vision, Generative AI, and Agentic AI solutions for smart manufacturing. Analyze operational data, build production-ready AI applications, support cloud deployment and model monitoring, and collaborate with manufacturing, engineering, supply chain, quality, IT, and software teams to improve quality, productivity, reliability, and decision-making.

Develop statistical and machine-learning models for product demand forecasting across geographies. Analyze forecast accuracy, bias, and planning deviations; conduct experiments and root-cause analysis; and communicate insights to demand planners and business stakeholders. Productionize analytical models, recommend data strategies, identify data science opportunities, and educate teams on advanced forecasting approaches. The role supports integrated business planning, inventory decisions, and supply planning.

Designs, develops, and maintains enterprise .NET applications, APIs, data pipelines, analytics solutions, and responsive web interfaces. The role involves working with AWS, complex datasets, databases, ETL, reporting platforms, CI/CD, testing, and cloud-native architectures. The engineer collaborates with product, architecture, QA, and business stakeholders to deliver scalable solutions, troubleshoot defects, and support production systems.

Leads talent acquisition strategy and execution across the Americas, managing recruiting teams, workforce planning, senior stakeholder partnerships, hiring operations, metrics, technology, vendors, employer branding, and pipelines for scientific, engineering, commercial, manufacturing, and corporate talent. The role requires scaling high-volume and specialized hiring across multiple markets while improving recruiting processes, candidate experience, analytics, and organizational effectiveness.

Own data governance and quality for critical commercial data assets. Define metadata, ownership, stewardship, lineage, quality standards, and monitoring processes; manage catalog and glossary content; profile data and lead remediation; support Microsoft Fabric, Power BI, Snowflake, and enterprise analytics initiatives; and partner with business, architecture, engineering, and analytics stakeholders to deliver trusted, discoverable, AI-ready data.

Leads the EMEA Customer Application Specialist, Academy, and Technical Excellence teams. Manages people, resources, workload coverage, technical pre- and post-sales support, training, customer relationships, reporting, and business development activities to meet or exceed sales quotas. Partners with sales and business teams, develops employee capabilities, drives customer experience, monitors market trends, and evolves support strategies to meet future business needs.

Sell analytical instrumentation, software, accessories, and services through inbound and outbound channels. Manage customer relationships, sales pipelines, forecasts, CRM updates, and territory opportunities across chromatography and spectroscopy products. Identify and develop new business, retain existing customers, address customer needs, and collaborate with field staff and cross-functional teams. The role requires a science degree, analytical techniques experience, and excellent Danish and English communication skills.

Lead Agilent's global employee listening and culture strategy by designing Peakon-based listening programs, translating insights into actions, partnering with leaders and HRBPs, enabling ENGs and Country GMs, driving engagement and inclusion initiatives, and creating measurement, governance, and communication frameworks to strengthen employee connection and culture.

Build and maintain scalable enterprise data platforms, pipelines, integrations, and reusable data products for global manufacturing operations. Implement data governance, quality monitoring, metadata, lineage, and master data practices. Develop cloud-native, batch, streaming, and event-driven solutions supporting analytics, AI, reporting, smart factories, and digital twins. Collaborate with architects, engineers, data scientists, and operations stakeholders while applying DevOps, observability, and CI/CD practices.

Develop secure, responsive operational applications for manufacturing and frontline workflows across mobile, tablet, and industrial devices. Integrate applications with SAP, MES, enterprise data platforms, AI services, and backend APIs. Build offline-capable workflows, digital instructions, inspections, maintenance tools, inventory transactions, and intelligent user experiences. Collaborate with cross-functional engineering and operations teams using Agile practices while evaluating emerging technologies such as wearables, barcode systems, voice interaction, and AI assistants.