Principal AI Operations Engineer

AbbVie; North Chicago (IL); On-site; USD 142,000 - 269,000; Full time

Benefits offered by this job

401(k) plan

Medical/dental/vision insurance

Paid time off

Job summary

AbbVie is seeking a Principal AI Operations Engineer within the Business Technology Solutions (BTS) group in the United States. The role emphasizes end-to-end ML/AI engineering, platform operations, and scalable AI delivery across Bath teams.

You will architect patterns, implement registries and observability, and drive adoption of CI/CD, feature stores, and cloud-native ML pipelines. You will collaborate with cross-functional teams to operationalize ML/AI, work with tools like SageMaker,

Qualifications

• Bachelor's degree with 9+ years of experience, or equivalent
• Experience in ML/AI engineering, data science, or AI platform engineering
• Strong SQL, Python, Spark, and ML frameworks knowledge
• Experience architecting with analytics/data science platforms
• Experience with data lakes like Iceberg or Delta
• 2+ years in GenAI app development and LLM-based architectures
• 3+ years cloud deployment (AWS/Azure) with large datasets and streaming data

Responsibilities

• Architect patterns to accelerate AI delivery and model deployment
• Develop and configure model registries and experiment tracking
• Set up model drift detection and observability
• Create reusable project templates and CICD workflows for ML/AI projects
• Set up feature stores and online feature serving
• Design cloud architectures for ML/AI problems
• Enforce data/code quality, reproducibility, and compliance
• Lead projects with minimal supervision and guidance
• Familiar tools: SageMaker, Databricks, GitHub Actions, Terraform, Iceberg/Delta, JIRA, CI/CD, cloud platforms, LLMs, MLFlow

Skills

ML/AI Engineering

SQL

Python

Spark

LLM/GenAI

Cloud architecture

Data science

Model registry

Education

Bachelor's degree

Master's degree

PhD

Tools

SageMaker

Databricks

GitHub Actions

Terraform

Iceberg

Delta

JIRA

CI/CD

MLFlow

Job description

• Compensation: USD 141,500 - USD 268,500 - yearly

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.

Job Description

Come to work each day with an inclusive and collaborative business technology team. As a Principal AI Operations Engineer in AbbVie Business Technology Solutions (BTS), you will have opportunities to contribute to the digital transformation of a leading biopharma company, helping to create solutions that impact patients and their communities for the better.

A successful candidate will bring best-in-class AI/ML Engineering and Operations methodologies, deep understanding of AI/ML Platform space, proven history of solving operationalizing ML and AI and ability to work with cross-functional teams to deliver and execute complex analytics problems.

Responsibilities:

• Architect patterns that increase success in getting AI delivery teams to ship AI and ML models to solve business problems.
• Develop and configure model registries and experiment tracking.
• Set-up model drift detection and observability patterns.
• Create reusable templates and patterns for rapidly creating projects.
• Create central CICD workflows across ML and AI projects.
• Set-up up Feature Stores and online feature serving.
• Design cloud architecture to solve ML and AI problems.
• Enforce code quality standards, data quality and ensure reproducibility and compliance.
• Initiate and drive projects with minimal oversight and guidance.
• Tools and skills you will use in this role:
  • AI platforms like SageMaker, Databricks, etc.
  • CICD Tools like GitHub Actions
  • Infrastructure-as-Code tools like Terraform
  • Lakehouse data storage patterns like Iceberg and Delta.
  • JIRA, CI/CD and Agile project methodology
  • Cloud environment (AWS, Azure, etc.) with large datasets and with streaming data architectures.
  • Large Language Models and Generative AI
  • ML Registries like MLFlow

Qualifications

Required:

• Bachelor's Degree with 9 years of experience; Master's Degree with 8 years of experience; PhD with 4 years of experience.
• Respective years of working experience in doing ML/AI Engineering, Data Science, or AI Platform engineering.
• Respective years of experience in advanced SQL, Python, Spark, and a broad array of ML frameworks
• Respective years of experience architecting with advanced analytics and data science platforms.
• Respective years of experience with data lakes like Iceberg or Delta.
• 2+ years of experience with GenAI application development, LLM prompt engineering, LLM-based solution architecture like RAG, developing Chatbots and AI agents using both unstructured and structured data.
• 3+ years of experience in developing and deploying solutions in a Cloud environment (AWS, Azure) with large datasets and with streaming data architectures.
• 3+ years of experience in using MLflow for model registry, experiment tracking, and model validation.

Preferred:

• Experience with Pharma data, including insights into commercial sales and field operations is a plus.
• Consulting experience in ML/AI Engineering or Ai Platform domain.
• 5+ years of working experience in ML/AI Engineering, Data Science, or AI Platform engineering
• 5+ years of experience in advanced SQL, Python, Spark, and a broad array of ML frameworks
• 5+ years of experience architecting with advanced analytics and data science platforms.
• 5+ years of experience with data lakes like Iceberg or Delta.
• Self-starter, comfortable with ambiguity, experience initiating and driving projects with minimal oversight and guidance.

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state orlocal 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 the timeof this posting based on the job grade for this position.Individualcompensation paid within this range will depend on many factors including geographic location, andwemayultimatelypaymore or less than the posted range. This range may bemodifiedin 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 toparticipatein our long-term incentiveprograms.

Note: No amount of payis considered to bewages or compensation until such amount is earned, vested, anddeterminable.The amount and availability of any bonus,commission, incentive, benefits, or any other form ofcompensation and benefitsthat are allocable to a particular employeeremainsin the Company's sole andabsolutediscretion unless and until paid andmay bemodifiedat the Company’s sole and absolute discretion, consistent withapplicable 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.