AI Architect

AbbVie•North Chicago, IL

5h•$109,500 - $208,500

About The Position

AbbVie is seeking an AI Architect to serve as the principal architect for AI-enabled solutions supporting Finance. The role involves designing and delivering secure, scalable, and maintainable systems on AWS. You will translate finance business needs into solution architectures that improve the quality, speed, and efficiency of financial planning, reporting, forecasting, and operations. This position requires applying expertise in generative AI, agentic AI, machine learning, data architecture, cloud platforms, and software engineering. You will evaluate emerging technologies, ensure solutions align with enterprise architecture, and act as a technical leader across Finance and IT from discovery through production.

Requirements

Bachelor’s Degree with 7 years of relevant experience, Master’s Degree with 6 years, or PhD with 2 years.
Experience in application development and solution architecture for AI applications.
In-depth knowledge of the systems development life cycle and design of production-grade cloud, data, and analytics solutions.
Experience designing or implementing solutions on AWS.
Understanding of generative and agentic AI capabilities, limitations, and lifecycle practices.
Knowledge of data governance, privacy, access control, auditability, and financial controls.
Proven track record of delivering technology solutions that advance business outcomes.
Excellent written and oral English communication skills.

Responsibilities

Lead architecture and solution design for generative and agentic AI, machine learning, analytics, data, and software solutions on AWS.
Identify and deliver high-value use cases in partnership with Finance stakeholders.
Design and implement secure AWS solutions for data ingestion, storage, processing, analytics, and deployment.
Establish data and AI governance, ensuring financial data lineage, quality, and auditability.
Apply responsible-AI and model-lifecycle practices including monitoring and bias identification.
Protect financial information and controls, working with compliance partners to address security and audit requirements.
Guide implementation and technical decisions, contributing to prototypes or code when necessary.
Advise stakeholders and delivery teams, communicating architectural choices and trade-offs.
Promote reliable operations, including testing, deployment, and performance optimization.
Provide technical leadership, mentor team members, and uphold corporate policy adherence.