Engineer, Quality Systems

About AbbVie 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. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube.

Technical expert that will independently identify, engineer, and optimize new data, software, or technology solutions that address critical business needs. Focus areas will include Laboratory Information Management Systems (LIMS), Automated Lab Testing utilizing software orchestration solutions, and advanced Data and Analytics solutions leveraging AI. This role acts as a technical leader to integrate technical advances into business solutions that drive productivity, compliance, and operational excellence across Quality and Operations.

Lead the design, operation, and optimization of cloud services supporting LIMS, Automated Lab Testing solution (e.g. Scitara, Ignition, LabX), 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. Execute the full software development lifecycle, including version control (git), CICD 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.

Required: Bachelor's Degree with at least 5 years relevant experience; Master’s Degree with 4 years’ experience. Extensive hands-on experience developing, configuring, and deploying applications in AWS or Azure cloud for enterprise LIMS, Integrations using Scitara, LabX, Ignition, Rest APIs, and related systems. Experience with the full software development lifecycle, including version control (git), CICD pipelines, testing, and regional cloud deployments for quality and operational platforms. 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 C#, Java, or other modern programming languages (Python, Node.js, etc.). Experience with configuring .Net frameworks Demonstrated understanding and delivery of AI and analytics. Preferred: PhD with industry experience preferred, ideally within pharmaceutical, medical devices, or life sciences. Excellent written and oral English communication skills for technical and non-technical audiences. Experience in running technology evaluations and assessments for regulated environments. Technology certifications are highly preferred,