Principal AI Operations Engineer

Principal AI Operations Engineer

Employment Type: Full-time

Salary: USD 141,500 – USD 268,500 yearly

Workday Global Grade: 20

Travel: Yes, 5% of the time

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 www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

About the Role

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 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

• 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

Required Qualifications

• 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 Qualifications

• 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.

Compensation and Benefits

The compensation range described 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 the Company 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 long-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.

Equal Opportunity

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