Senior Manufacturing Digital Technology Engineer

Amgen Inc. (IR); Hyderabad; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Amgen is seeking an Information Systems professional to design, implement, integrate and support manufacturing technologies across its global manufacturing network. You will collaborate with Architecture, Automation, Engineering and Quality teams to deliver secure, scalable solutions and apply AI to manufacturing challenges.

You will work across PLC/DCS/SCADA, MES, data historians and cloud platforms, translating operational needs into robust technical designs while ensuring compliance and

Qualifications

• Experience in regulated manufacturing environments.
• 1000
• Familiarity with MES and data historians.
• 1000
• Ability to implement and support manufacturing technology.
• 1000
• Troubleshooting across multiple layers of systems.
• 1000
• Understanding of data architectures and data movement.
• 1000
• Proactive learning of emerging technologies including AI.
• 1000

Responsibilities

• Design, implement and support technology solutions used within manufacturing environments.
• Work across manufacturing automation systems, manufacturing applications, data platforms and systems integrations.
• Support integration between systems such as PLC/DCS/SCADA, MES, data historians, manufacturing applications, databases and enterprise/cloud platforms.
• Understand manufacturing processes and translate operational and technical needs into practical technology solutions.
• Troubleshoot complex issues spanning applications, infrastructure, automation, interfaces and data flows.
• Collaborate with Automation, Engineering, Manufacturing, Quality, Cybersecurity and DTI teams to develop robust and supportable solutions.
• Evaluate new technologies and identify opportunities to apply digital technologies, analytics and AI to manufacturing use cases.
• Develop prototypes and proofs of concept to evaluate emerging technologies and demonstrate potential business value.
• Support the implementation and expansion of technologies across Amgen’s global manufacturing network.
• Ensure solutions align with Amgen architecture, cybersecurity, compliance and operational standards.
• Develop appropriate technical documentation and support knowledge transfer to operations and support teams.
• Identify technical risks and contribute to solution architecture, design decisions and continuous improvement.
• Collaborate effectively with geographically dispersed teams, including teams in the US and other international locations.

Skills

Manufacturing automation

Troubleshooting

Systems integration

AI / analytics interest

Technical communication

Cross-functional collaboration

Independent global collaboration

Tools

OPC UA

APIs

Databricks

SQL

Python

REST APIs

MQTT

AWS/Azure

PI System

Job description

Career Category Information Systems Job Description

Let’s do this. Let’s change the world. In this vital role you will help design, implement, integrate and support manufacturing technologies across Amgen’s global network of manufacturing sites. You will work across manufacturing automation, information systems, data platforms and emerging technologies, collaborating with Architects, Engineers, Development Teams, Automation teams, Business Owners, Subject Matter Experts and other stakeholders to deliver secure, reliable and scalable solutions. The successful candidate will bring a strong technical foundation, curiosity, and an interest in applying new technologies, including AI, to solve real manufacturing challenges.

Key Responsibilities

• Design, implement and support technology solutions used within manufacturing environments.
• Work across manufacturing automation systems, manufacturing applications, data platforms and systems integrations.
• Support integration between systems such as PLC/DCS/SCADA, MES, data historians, manufacturing applications, databases and enterprise/cloud platforms.
• Understand manufacturing processes and translate operational and technical needs into practical technology solutions.
• Troubleshoot complex issues spanning applications, infrastructure, automation, interfaces and data flows.
• Collaborate with Automation, Engineering, Manufacturing, Quality, Cybersecurity and DTI teams to develop robust and supportable solutions.
• Evaluate new technologies and identify opportunities to apply digital technologies, analytics and AI to manufacturing use cases.
• Develop prototypes and proofs of concept to evaluate emerging technologies and demonstrate potential business value.
• Support the implementation and expansion of technologies across Amgen’s global manufacturing network.
• Ensure solutions align with Amgen architecture, cybersecurity, compliance and operational standards.
• Develop appropriate technical documentation and support knowledge transfer to operations and support teams.
• Identify technical risks and contribute to solution architecture, design decisions and continuous improvement.
• Collaborate effectively with geographically dispersed teams, including teams in the US and other international locations.

Preferred Qualifications

• Experience working with technology in pharmaceutical, biotechnology or other regulated manufacturing environments.
• Experience with manufacturing systems such as MES, data historians, OEE, manufacturing intelligence or other shop-floor applications.
• Experience integrating manufacturing systems using technologies such as OPC/OPC UA, APIs, databases, message brokers or other industrial and enterprise integration technologies.
• Understanding of manufacturing data architectures and the movement of data from equipment and control systems through manufacturing and enterprise platforms.
• Experience troubleshooting technical issues across multiple systems and technology layers.
• Familiarity with databases and data platforms, including SQL and technologies such as Databricks.
• Programming or scripting experience using technologies such as Python, PowerShell or similar would be advantageous.
• Experience with cloud, on-premises and hybrid architectures, including AWS and/or Azure.
• Understanding of cybersecurity principles within manufacturing or operational technology environments.
• Experience in regulated/GxP environments and an understanding of computerized system lifecycle and compliance expectations.
• Experience evaluating, prototyping or applying emerging technologies including AI, machine learning, advanced analytics or industrial IoT.
• Demonstrated interest in continually learning new technologies and applying them to manufacturing problems.

Must-Have Skills

• Experience with manufacturing automation and control systems such as PLC, DCS, SCADA or industrial control networks.
• Strong technical problem-solving and troubleshooting capability.
• Good understanding of manufacturing technology, automation systems, applications, data and system integration.
• Ability to understand how multiple technology layers interact, from manufacturing equipment and control systems through applications, data platforms and enterprise systems.
• Ability to work with technical SMEs across Automation, Engineering, Infrastructure, Applications, Data and Cybersecurity.
• Ability to rapidly learn unfamiliar technologies and investigate complex technical problems.
• Strong curiosity and ongoing interest in emerging technologies, particularly AI, advanced analytics and manufacturing digitalization.
• Ability to translate manufacturing problems into clear technical requirements and potential solution approaches.
• Strong written and verbal communication skills, with the ability to explain technical concepts to both technical and non-technical audiences.
• Ability to work independently while collaborating effectively within global, cross-functional teams.

Good-to-Have Skills

• Familiarity with generative AI, AI agents, machine learning or AI-enabled development tools.
• Experience with one or more industrial automation platforms such as Rockwell, Siemens, Emerson DeltaV, B&R or similar.
• Familiarity with industrial communication technologies and protocols.
• Experience with OPC UA, MQTT, REST APIs or other integration technologies.
• Experience with PI System or other industrial data historians.
• Experience with MES platforms or integration between MES and process automation systems.
• Experience with Databricks, SQL, Python or similar data and analytics technologies.
• Exposure to containerization, Kubernetes or modern application architectures.
• Experience developing proofs of concept or rapidly evaluating new technology.
• Experience working in Agile delivery environments.

Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics. This approach begins by using tools like advanced human genetics to unravel the complexities of disease and understand the fundamentals of human biology. Amgen focuses on areas of high unmet medical need and leverages its biologics manufacturing expertise to strive for solutions that improve health outcomes and dramatically improve people's lives. A biotechnology pioneer since 1980, Amgen has grown to be one of the world's leading independent biotechnology companies, has reached millions of patients around the world and is developing a pipeline of medicines with breakaway potential. For more information, visit www.amgen.com and follow us on www.twitter.com/amgen