Senior Engineer, AI

BioSpace; North Chicago (IL); On-site; USD 170,000 - 250,000; Full time

Job summary

AbbVie is seeking a highly autonomous AI/ML Architect to design and deliver AI solutions for financial use cases. You will lead technical architecture for traditional and generative AI models, integrate AWS services, and ensure governance and auditability across the stack.

You will collaborate with risk, compliance, and business units to shape AI strategy, develop pipelines, and enable intelligent systems. Strong leadership and cloud-native delivery are essential.

Qualifications

• Thorough understanding of Python, data science, ML, generative AI and agentic AI techniques.
• Experience architecting solutions in an AWS environment and building data/model pipelines.
• Ability to design secure, scalable AI architectures with CI/CD and observability.

Responsibilities

• Conceive, design, engineer, and implement ML/AI solutions for finance use cases.
• Lead projects and mentor engineers across architecture, deployment, and governance.
• Develop data/model pipelines, APIs, and integration layers; implement MLOps practices.
• Establish deployment standards, cost controls, and observability for production systems.
• Support model performance, retraining, testing, and production operations.

Skills

Python

Data science

ML

Generative AI

Agentic AI

AWS

MLOps

CI/CD

GitHub

Observability

Education

Bachelor's degree

Master's degree

PhD

Tools

AWS

GitHub

Job 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 atwww.abbvie.com. Follow @abbvie onLinkedIn,Facebook,Instagram,XandYouTube.

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 atwww.abbvie.com. Follow @abbvie onLinkedIn,Facebook,Instagram,XandYouTube.

Job Description

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.

Responsibilities

• 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.

Qualifications

Required

• Bachelors Degree with 6 years experience; Masters 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 architectures for AI/ML, generative AI, and agentic AI solutions for various use cases.
• Proven experience designing AL/ML and GenAI solutions using python.
• Proven experience with selecting and integrating AWS services for data pipelines, model hosting, vector search, orchestration, monitoring, and governance.
• Experience with establishing deployment standards, CI/CD and observability using GitHub and AWS.
• Proven implementation of creative technology solutions that advanced business.

Preferred

• AWS certifications for architecture or AI
• Excellent written and oral English communication skills
• Strong cross functional collaboration skills

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 Companybelieves ingood faith it will pay for this role at thetimeofthis posting based on the job grade for this position.Individualcompensation paid within this range will depend on many factors including geographiclocation,andwemay ultimately pay more or less than the posted range. This range may bemodified in thefuture.
• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick),medical/dental/visioninsurance and 401(k) to eligibleemployees.
• This job is eligible toparticipate in our short-term incentiveprograms.

Note: No amount of payis considered to bewages or compensation until such amount is earned, vested, anddeterminable.Theamountandavailabilityof anybonus,commission, incentive, benefits, or any other form ofcompensation and benefitsthat are allocable to a particular employeer