Senior Engineer, AI

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.

Work collaboratively with technology and business groups to design and develop machine learning and AI solutions for financial use cases, leading technical architecture for both traditional and deep learning models. The role includes executing traditional machine learning solutions, as well as developing and integrating generative AI and agentic AI technologies to automate workflows, enhance decision-making, and enable intelligent systems within financial applications. Contribute to AI strategy, collaborating cross-functionally with stakeholders (e.g., risk, compliance, business units), and evaluating emerging AI/ML technologies, and accountability for AI system auditability.

Conceive, design, engineer, and implement ML and AI solutions by studying information needs; conferring with users; studying systems flow, data usage, and work processes; investigating problem areas; Routinely demonstrate initiative and creativity in developing technology solutions. Serve as technical expert or lead projects/programs and technical staff to develop, test and implement significant new products, or operational improvements or devise new approaches to problems at the division/business unit. Mentor junior engineers. Design secure, scalable, and compliant architectures for AI/ML, generative AI, and agentic AI solutions for finance use cases. Select and integrate AWS services for data pipelines, model hosting, vector search, orchestration, monitoring, and governance. Establish deployment standards, CI/CD, observability, and cost controls. Build and deploy predictive analytics, ML, and gen AI solutions into production. Develop robust data/model pipelines, APIs, and integration layers. Implement MLOps practices for training, validation, deployment, and monitoring. Support model performance, retraining, testing, and production support. Contribute to agentic workflows, tool use, and orchestration patterns. Select and integrate AWS services for data pipelines, model hosting, vector search, orchestration, monitoring, and governance. Highly autonomous and productive in performing activities, requiring only minimal direction from or interaction with supervisor. Accountable for total project scope, budget, completion within budget constraints and scheduled completion date. Accountable for successful and timely completion of all tasks/projects under direct and matrix control. Maintains relationships with affiliates, subsidiaries, and vendors in accordance with AbbVie Values, Vendor Management Office, and Purchasing to further the mission, vision, and goals of the organization. Understand and adhere to corporate standards regarding applicable Corporate and Divisional Policies, including code of conduct, safety, GxP compliance, data security, and the software development lifecycle.

Required Bachelor’s Degree with 6 years’ experience; Master’s Degree with 5 years’ experience; PhD with 0 years’ experience. Possess thorough theoretical and practical understanding of python, data science, machine learning, generative AI and agentic AI approaches and techniques. Experience architecting solutions in an AWS environment. Experience developing robust data/model pipelines, APIs, and integration layers. Implement MLOps practices for training, validation, deployment, and monitoring. Proven experience with designing secure, scalable, and compliant