AI Support Engineer

Responsibilities

• Partner with Regulatory Affairs stakeholders to develop a working understanding of business processes, workflows, and pain points;
• Support the identification of opportunities where AI and emerging technologies may add measurable value.
• Assist in the evaluation and assessment of AI tools, platforms, and capabilities relevant to the Regulatory Affairs function, contributing to the documentation of findings and recommendations for review by senior team members.
• Collaborate with business and technical teams to support the planning, coordination, and execution of pilots, proofs of concept (POCs), and technology evaluations in alignment with organizational priorities.
• Contribute to the documentation of business requirements, user stories, and process maps that help translate regulatory needs and stakeholder goals into clearly articulated technology solutions.
• Support process improvement initiatives by gathering data, conducting research, and participating in workshops or working sessions focused on workflow analysis and optimization.
• Affirm that AI use cases are evaluated through the lens of responsible, ethical, and compliant technology practices, consistent with AbbVie's standards and applicable regulatory guidelines.
• Engage in knowledge sharing and learning opportunities across the technology and Regulatory Affairs organizations to build domain expertise and technical acumen.
• Maintain accurate and organized documentation of project activities, meeting notes, action items, and status updates in support of team deliverables.
• Perform additional responsibilities as assigned to support the broader technology team and organizational objectives.

Qualifications

• Bachelor's Degree and 2 years' experience OR Master's Degree plus 0 years' experience
• Foundational understanding of technology concepts, including software applications, data management, or systems analysis.
• Demonstrated exposure to process improvement methodologies or participation in technology-related projects in an academic, internship, or professional setting.
• Familiarity with artificial intelligence, machine learning, or automation concepts, including awareness of common use cases and general principles of responsible AI.
• Strong written and verbal communication skills, with the ability to engage effectively with both technical and non-technical audiences.
• Proficiency in enterprise collaboration tools (e.g., Microsoft 365, SharePoint, Teams) and standard business productivity applications.
• Demonstrated ability to manage multiple tasks, prioritize effectively, and meet deadlines in a structured team environment.
• Strong attention to detail, intellectual curiosity, and a proactive approach to learning and problem-solving.

Preferred

• Prior experience or coursework related to pharmaceutical, biotechnology, or other regulated industry environments.
• Exposure to Regulatory Affairs processes, regulatory submissions, or document management systems within a life sciences context.
• Familiarity with AI/ML platforms, low-code/no-code tools, or enterprise technology evaluation frameworks.
• Experience supporting business analysis activities, including requirements gathering, stakeholder interviews, or process documentation.
• Knowledge of data privacy considerations, ethical AI principles, or technology governance frameworks.
• Experience participating in agile, scrum, or other iterative project delivery methodologies.