Hybrid AI Engineer: Build Production-Grade AI Solutions

AbbVie; California (MO); On-site; USD 120,000 - 180,000; Full time

Job summary

AbbVie is seeking an AI Engineering Analyst to internalize and scale a state-of-the-art agentic statistical programming platform (Helix) across clinical development. You will partner with statisticians, data scientists, and business teams to test, iterate, and deploy AI solutions while optimizing workflows and ensuring reliability.

The role emphasizes evaluating foundation models, building durable AI components, and delivering maintainable software through automated testing and robust code

Qualifications

• Bachelor’s or Master’s degree in statistics, mathematics, analytics, bioinformatics, data science, computer science or equivalent field with 4+ years (BS), 2+ years (MS) or 1+ years (PhD) of related experience
• 1+ year experience within building production-grade AI solutions using modern AI frameworks such as LangGraph, LangChain, Strands Agents, etc.
• Experience with one or more general purpose programming languages: Java, Python, R, Scala, C, C++, C#, Swift/Objective C, or JavaScript
• End-to-end experience with data: querying, aggregation, analysis, and visualization

Responsibilities

• Build production-grade AI solutions including agent platforms, AI co-pilots, code generation harnesses, evaluation frameworks, and agentic research pipelines
• Collaborates with Statisticians & Data Scientists to enable streamlined data flow for Data & Statistical Sciences capabilities across clinical development
• Evaluate foundation models, agent architectures, and AI workflows, making practical technical decisions based on reliability, security, cost, business impact, etc.
• Operate, monitor, and continuously improve production AI solutions by optimizing quality, reliability, latency, cost efficiency, governance, and user outcomes
• Develop, construct, test and maintain architectures (such as databases and large-scale process systems) to support AI & Analytics projects within Clinical Development
• Build data products and service processes which perform data transformation, metadata extraction, workload management and error processing management
• Implement standardized, automated operational and quality control processes to deliver accurate and timely data and reporting
• Adhere to best practices for coding, testing and designing reusable code/component
• Contribute to the discovery and understanding of new tools, and techniques and propose improvements to the data pipeline
• Develop data set processes for data modeling, mining and production

Skills

Python

R

Java

SQL

C++

Scala

JavaScript

AI frameworks

Education

Bachelor’s degree in statistics

Master’s degree in statistics

PhD in related field

Tools

LangGraph

LangChain

Strands Agents

AWS

Job description

AbbVie is seeking an AI Engineering Analyst to internalize and scale a state-of-the-art agentic statistical programming platform (Helix) across clinical development. You will partner with statisticians, data scientists, and business teams to test, iterate, and deploy AI solutions while optimizing workflows and ensuring reliability.

The role emphasizes evaluating foundation models, building durable AI components, and delivering maintainable software through automated testing and robust code