Principal AI Operations Engineer

Role Overview

A Principal AI Operations Engineer at AbbVie will contribute to the digital transformation of a leading biopharma company, helping to create solutions that impact patients and their communities for the better. The role involves architecting patterns for AI delivery teams, developing and configuring model registries, and setting up model drift detection and observability patterns.

What You Will Do

Responsibilities include architecting patterns for AI delivery teams, developing and configuring model registries, setting up model drift detection and observability patterns, creating reusable templates and patterns for rapidly creating projects, and designing cloud architecture to solve ML and AI problems.

Why It Might Be a Fit

A successful candidate will bring best-in-class AI/ML Engineering and Operations methodologies, deep understanding of AI/ML Platform space, and proven history of solving operationalizing ML and AI. The role requires a self-starter who is comfortable with ambiguity and experience initiating and driving projects with minimal oversight and guidance.

Requirements

• 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

Benefits

• Paid time off (vacation, holidays, sick)
• Medical/dental/vision insurance
• 401(k)
• Long-term incentive programs

Tagged as: Python, SQL