Jobs at Agilent Technologies

Plans and executes regional marketing programs for India and South Asia Pacific, supporting funnel generation and sales across applied markets. Tailors global campaigns, develops region-specific initiatives, analyzes market and competitor trends, coordinates customer communications, consolidates business metrics, identifies opportunities, and supports sales teams. The role requires understanding analytical technologies including chromatography, mass spectrometry, and spectroscopy, along with collaboration across business units, senior management, sales channels, and customers.

Develops and qualifies sales opportunities within biopharma accounts through outbound outreach, virtual meetings, and digital engagement. Builds and nurtures the sales pipeline, supports campaigns and demonstrations, coordinates customer follow-up, assists with quotations and opportunity tracking, and partners with Account Managers on growth strategies across cell analysis, dissolution, chromatography, and mass spectrometry product lines.

Develop scalable backend services, APIs, microservices, integration platforms, and cloud-native applications connecting enterprise systems, manufacturing operations, AI services, and operational technologies. Implement secure, resilient, event-driven architectures; support containerized deployments, CI/CD, monitoring, observability, disaster recovery, and high availability. Collaborate with software, data, AI, smart factory, and business teams through architecture reviews, code reviews, and Agile delivery.

Designs and evolves enterprise data architecture for global manufacturing and operations. Responsibilities include data modeling, integration standards, information governance, metadata, lineage, MDM, cloud data platforms, API and event-driven architectures, and AI-ready data products. The role collaborates with enterprise architects, engineers, data scientists, governance teams, and operational stakeholders to enable analytics, digital twins, smart manufacturing, reporting, and intelligent decision support.

Develop machine learning, statistical, optimization, computer vision, Generative AI, and advanced analytics solutions for smart manufacturing. Analyze operational data, deploy production-ready AI models, monitor performance, and collaborate with manufacturing, engineering, supply chain, quality, IT, and software teams to improve quality, productivity, reliability, and decision-making across global operations.

Coordinates customer programs and scheduled or reactive technical services, serving as the primary operational contact. Manages service inquiries, schedules, quotations, purchase orders, invoices, issue resolution, and cross-functional collaboration. Onsite coordinators support customer operations and execute duties defined in program agreements. The role requires strong organization, communication, customer service, adaptability, and proficiency with SAP or equivalent systems and Microsoft Office.

Leads the design and delivery of governed, business-ready data products, dimensional models, semantic assets, and KPI frameworks for Global Operations. Builds scalable lakehouse transformations using SQL, Python, and PySpark; establishes data quality, lineage, metadata, testing, CI/CD, monitoring, and security practices; and partners with business and technology stakeholders across supply chain, manufacturing, quality, and regulatory functions. Develops AI-ready data foundations supporting analytics, machine learning, generative AI, and executive reporting.

Leads the strategy, roadmap, development, and continuous enhancement of executive decision-intelligence products. Builds Power BI and Microsoft Fabric dashboards, scorecards, semantic models, scenario-planning applications, and predictive analytics solutions. Integrates ERP and disparate data sources using Python and SQL, applies AI/ML techniques, and partners with global operations leaders across supply chain, manufacturing, quality, and regulatory functions. Translates complex operational data into scalable, user-centric insights that improve executive decision-making and enterprise performance.

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.

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.

Develop secure, intuitive 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 approvals. Collaborate with multidisciplinary teams, stakeholders, and Agile development groups to improve productivity, usability, and operational decision-making through modern cross-platform, cloud, and AI-enabled technologies.

Analyzes international trade, tariff, customs, shipment, and trade agreement data; prepares reports and recommendations on risks, costs, duty optimization, and trade strategy. Monitors import/export compliance across China, Europe, and Asia, maintains SAP/MIC trade data, resolves discrepancies, supports customs reconciliation, researches regulatory changes, and identifies automation and process improvement opportunities. Collaborates with logistics, supply chain, finance, legal, compliance, and regional trade teams.

Manages end-to-end customer orders from entry through delivery and invoicing, resolves complex customer service issues, coordinates with sales, manufacturing, logistics, and service teams, and ensures compliance with company policies and international requirements. Provides order status updates, supports revenue recognition, handles escalations, processes changes and returns, and contributes to customer service KPIs. Supports Korean customers in English and Korean and may work extended shifts during month-end.

Develop and execute channel strategies to grow sales through partner networks. Recruit, onboard, enable, and manage channel partners; establish performance goals and incentive programs; analyze partner results; and build strategic relationships. The role requires market analysis, negotiation, reporting, coaching, and resolving partner challenges. Experience in chemical analysis and life science laboratory businesses is required, along with frequent travel.

Supports complex analytical instruments through electrical troubleshooting, failure analysis, root-cause investigations, yield and reliability improvement, sustaining engineering, change qualification, NPI manufacturing transitions, and production test development. The role debugs electronic assemblies from component to system level, develops test software and stations, analyzes quality data, manages engineering documentation, and collaborates with R&D, Manufacturing, Quality, MSAT, and Operations teams.

Own analytical quality for a global manufacturing Control Tower, translating operational data into KPIs, forecasts, scenarios, early-warning signals, performance narratives, and recommendations. Frame complex decisions, apply statistics, forecasting, machine learning, and AI, validate models, monitor performance and data quality, and lead analytical workstreams with cross-functional stakeholders. Build prototypes using Python, SQL, R, BI tools, and cloud technologies while communicating insights and limitations to senior leaders.

Develop and maintain advanced inventory and supply planning models, inventory optimization targets, scenario analyses, dashboards, and KPIs. Use Python, SQL, BI tools, predictive modeling, and machine learning to support supply planning, S&OE/S&OP, demand-supply coverage, capacity constraints, and inventory health. Partner with planning teams to improve data quality, automation, governance, model reliability, and executive decision-making.