Systems Engineer, Technology – AI & Business Systems

In this role, you will bring equal strength in practical AI expertise and business systems analysis, supported by technology consulting and relationship management skills. You will partner with business and technology stakeholders to understand their challenges and translate their needs into technical requirements. As a technical expert, you will independently design, develop, integrate, test, and validate complex solutions.

Responsibilities

• Opportunity Discovery: Partner with CBSO External Innovation stakeholders and BTS M&A teams to identify business problems, assess where AI adds value, and prioritize high-impact opportunities.
• AI Prototyping: Build and demonstrate AI prototypes using approved code, AI services, automation tools, application programming interfaces, and enterprise data.
• Technical Compliance: Apply AbbVie standards for secure software delivery, responsible AI, privacy, data protection, change management, and the software development lifecycle.
• Stakeholder Management: Build trusted relationships across business and technology teams, influence decisions, and communicate recommendations, risks, and progress to technical and executive audiences.
• Requirements Ownership: Define and manage business, functional, and technical requirements.
• Business Analysis: Translate business needs into user stories, process flows, requirements, and acceptance criteria.
• Delivery Leadership: Lead AI initiatives from discovery through delivery and adoption, including priorities, release outcomes, dependencies, risks, testing, and acceptance.
• Risk & Change Management: Manage delivery risks, issues, changes, and stakeholder communications.
• Production Readiness: Partner with architecture, engineering, security, privacy, and platform teams to turn successful prototypes into secure, maintainable solutions.

Qualifications

• Bachelor's Degree in Information Systems, Computer Science, Life Sciences, or a related discipline plus 5 years of experience; or a Master's Degree plus 4 years of experience.
• AI Solution Delivery: Hands-on experience designing, coding, testing, and demonstrating AI-enabled solutions, including generative AI, retrieval-augmented generation, workflow automation, intelligent agents, or similar capabilities.
• Applied AI Knowledge: Practical knowledge of generative AI, large language models, prompt engineering, retrieval-augmented generation, AI copilots, agentic AI, machine learning fundamentals, responsible AI, data quality, privacy, security, implementation risks, and limitations.
• Technical Toolkit: Proficiency in Python or another modern programming language, with familiarity using cloud platforms, containers, application programming interfaces, and enterprise integration patterns to build and troubleshoot working solutions.
• Consulting & Technical Experience: Ability to gather ambiguous business requirements and translate them into clear user stories, functional requirements, technical requirements, and acceptance criteria.
• Hands-on experience designing, prototyping, testing, or implementing AI-enabled or other technology solutions.
• Value Translation: Experience turning a business problem into a working solution and explaining its value, limitations, and implementation considerations to stakeholders.
• Delivery Methods: Understanding of software development lifecycle methods, Agile practices, and modern product delivery approaches.
• Problem Solving & Communication: Ability to learn quickly, solve ambiguous technical problems, collaborate across teams, and explain technical concepts to technical and non-technical audiences.

Preferred

• Pharmaceutical, biotechnology, healthcare, manufacturing, or regulated industry experience.
• Experience supporting technology adoption, organizational change, or emerging technology initiatives.