Connected Factory Engineer

About the Role

The Connected Factory program focuses on the technical stewardship of key integration capabilities and their associated platforms across Manufacturing Operations at AbbVie. The Connected Factory Engineering team will progress the technical roadmap of platforms, accelerate integration maturity between critical manufacturing shopfloor components, and advance data availability for advanced use cases.

Key Responsibilities

• Analyze existing solutions and processes to identify optimization areas.
• Gather requirements from business users and translate them into technical specifications.
• Design and engineer technical capabilities to meet business needs.
• Develop system documentation, including user/admin manuals, architecture drawings, and technical specifications.
• Build and execute test protocols to ensure solutions function to specification.
• Author deployment instructions and implement them across various platforms.
• Intake, troubleshoot, and resolve technical issues.
• Ensure systems operate effectively, securely, and comply with relevant regulations.
• Collaborate with cross-functional teams to ensure solutions are integrated and scalable.
• Stay up to date with emerging trends and technologies in the field.

Requirements & Tech Stack

• Ignition
• OSI PI
• Kepware
• HighByte
• AWS Cloud Services
• API's and their management
• IT/OT convergence
• MQTT and other real-time data streaming protocols
• Unified Namespace management
• Data historization
• Event-driven services

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or related field plus 2 years of experience as a Developer, Systems Analyst/Admin, Engineer/Integrator, or similar role; OR Master's degree with 0 years of experience.
• Experience working with Ignition, Kepware, OSI PI, HighByte, and/or AWS Cloud Services.
• Excellent analytical, communication, and consultative skills.
• Ability to work efficiently with clients and other IT management and staff.
• High focus on deliverables and detail-oriented.
• Exceptional teamwork skills.
• High proficiency across a wide range of technologies and platforms related to:
• Software design and development
• Programming languages
• Data integration
• Data warehousing
• Data analysis and visualization tools
• Data storage
• Network connectivity
• Virtualization/cloud environments

Preferred Qualifications

• Experience with Artificial Intelligence, Large Language Models, and their capabilities.
• Experience in pharma, healthcare, or regulated industry.