Additionalinformation

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.

• This job is eligible to participate in our short-term incentive programs.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

Companydescription

Company Description

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.

Jobdescription

Job Description

Summary

The doc management team is focused on transforming how pharmaceutical content is created, managed, reviewed, and delivered across the organization. This role will help accelerate the adoption of AI, automation, and modern data technologies to improve document authoring, quality control, knowledge management, and operational efficiency.

The successful candidate will work at the intersection of data science, software engineering, and scientific business processes to develop intelligent solutions that streamline document-centric workflows. This includes leveraging large language models (LLMs), machine learning, knowledge management technologies, and system integrations to enable more efficient content creation, review, compliance, and reuse. The role will serve as a key partner in helping teams adapt emerging technologies and integrate them into everyday ways of working.

Responsibilities

• Partner with document management, regulatory, quality, and scientific teams to identify opportunities for AI-driven process improvement and workflow automation.
• Design, develop, and deploy solutions that support automated content authoring, content reuse, document summarization, metadata extraction, quality control, and compliance-related reviews.
• Build and maintain data pipelines, integrations, APIs, and knowledge management frameworks that connect document repositories, enterprise systems, and AI services.
• Develop and apply machine learning and generative AI solutions, including large language models (LLMs), retrieval-augmented generation (RAG), agentic workflows, and other modern AI technologies to improve document lifecycle management.
• Create scalable tools, applications, and user interfaces that enable business users to effectively leverage AI and automation capabilities.
• Evaluate emerging technologies and recommend practical solutions that can be adopted across the organization to increase productivity and operational effectiveness.
• Collaborate with business stakeholders to translate requirements into technical solutions while ensuring alignment with regulatory, quality, security, and governance standards.
• Establish best practices, training materials, and change management approaches that help teams successfully adopt new digital capabilities.
• Communicate technical concepts and project outcomes to both technical and non-technical audiences, driving understanding and adoption across diverse stakeholder groups.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related quantitative field required. Relevant industry experience in pharmaceutical, biotechnology, content management, or AI-enabled digital transformation initiatives are preferred.
• Strong programming skills in Python and experience developing production-grade data, analytics, or AI applications.
• Experience designing data architectures, APIs, database solutions, and cloud-based applications using platforms such as AWS, Azure, or GCP.
• Hands-on experience with modern AI technologies, including large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), vector databases, AI agents, and document intelligence solutions.
• Experience working with enterprise content management systems, document repositories, knowledge management platforms, or workflow automation technologies is highly desirable.
• Strong understanding of software engineering principles, system integration, data governance, and scalable application development.
• Familiarity with pharmaceutical, biotechnology, regulatory, clinical, quality, or scientific documentation processes is preferred.
• Experience developing dashboards, visualization tools, and intuitive user experiences that drive adoption of new technologies

Preferred Candidate Profile

• The ideal candidate combines the technical depth of a data scientist or engineer with the practical mindset of a digital transformation leader. They are passionate about applying AI and automation to real business challenges, enabling teams to work more efficiently, and helping organizations embrace new technologies in a sustainable and impactful way.