Operations Quality Senior Systems Engineer

About the Company

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience — and products and services in our Allergan Aesthetics portfolio.

About the Role

The Operations Quality Senior Systems Engineer will investigate, identify, and implement state-of-the-art technology platforms, focusing on Quality Management Systems (QMS), Learning Management Systems (LMS), Document Management Systems (DMS), Artwork Management Systems, and advanced Data & Analytics solutions leveraging AI. This role acts as a senior technical leader to integrate technical advances into business solutions that drive productivity, compliance, and operational excellence across Quality and Operations.

Responsibilities

• Lead the design, operation, and optimization of large-scale cloud services (AWS) supporting QMS, LMS, DMS, artwork, and data analytics platforms.
• Troubleshoot complex system issues and tune performance for enterprise-scale applications.
• Architect and develop robust, scalable, and fault-tolerant cloud-native solutions using REST APIs, microservices, and containerized technologies.
• Create and maintain Agile, test-driven development workflows for regulated systems, ensuring GxP and compliance requirements.
• Manage the full software development lifecycle, including version control (git), CI/CD pipelines, testing, and regional cloud deployments for quality and operational platforms.
• Ensure adherence to AbbVie’s Corporate and Divisional Policies regarding code of conduct, safety, GxP compliance, data security, and the SDLC.
• Conduct technology assessments, proofs-of-concept, and evaluations of emerging solutions — especially AI/ML — to enhance quality operations and automate business processes.
• Implement security best practices and collaborate with cross-functional teams, including QA, IT, Regulatory, and Business stakeholders.
• Engineer platform-as-a-product solutions offering self-service capabilities for business users across quality, operations, and compliance.
• Integrate generative AI and analytics into enterprise applications to enable intelligent automation, predictive quality monitoring, and enhanced user experiences.
• Leverage AWS expertise to architect solutions that are high-performance, cost-optimized, and reliable for global operations.

Requirements

• Bachelor's Degree with 6 years relevant experience; Master's Degree with 5 years experience; PhD with 0 years experience.
• Extensive hands-on experience developing and deploying applications in AWS or Azure cloud.
• Demonstrated track record of creative technology implementations that have advanced quality or operations business outcomes.
• Strong working knowledge of the SDLC (waterfall and agile).
• Experience with Java or other modern programming languages (Python, Node.js, etc.).
• Demonstrated understanding and delivery of AI and analytics.
• Excellent written and oral English communication skills for technical and non-technical audiences.
• Experience in running technology evaluations and assessments for regulated environments.

Preferred Qualifications

• PhD with industry experience preferred, ideally within pharmaceutical, medical devices, or life sciences.
• Knowledge and understanding of quality system requirements (GxP, FDA, ISO 9001), and regulatory technology practices.
• Hands-on experience developing and deploying applications in QMS, LMS, DMS, and related systems.
• Technology certifications highly preferred; AWS certifications a plus.

Benefits

• Paid time off (vacation, holidays, sick).
• Medical, dental, and vision insurance.
• 401(k) retirement plan.
• Eligibility to participate in short-term incentive programs.

The compensation range for this role is based on the job grade and may vary depending on geographic location. Individual compensation will be determined based on various factors.