AI Engineering Analyst

AbbVie

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
South San Francisco, CA
Salary
$84,500–$162,000 / yr
Posted
14 days ago
Freshness
Confirmed live yesterday
Closes
Aug 28, 2126

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $170k
This role $123k
$69k most similar roles pay here $227k

This role pays less than 82% of similar roles. Most pay $134,168–$205,737 — the shaded band above. At the midpoint, this role pays about $123k versus about $170k for comparable roles.

Based on 240 similar postings.

Employer

About AbbVie

AbbVie is a global biopharmaceutical company focused on discovering and delivering innovative medicines and solutions in immunology, oncology, neuroscience, and eye care. Its products include Humira, Skyrizi, and Rinvoq.

AbbVie currently has 297 open roles on FindRole.

Listed pay typically runs $109,500–$208,500 across 271 roles with salary data.

Most-posted roles

View all roles at AbbVie

At a glance

TL;DR · AI Engineering Analyst

The AI Engineering Analyst will join the team to internalize and scale the Helix agentic statistical programming platform. This role involves testing system designs, developing agents to expand the platform across various study designs, and optimizing business workflows. The individual will build production-grade AI solutions, including co-pilots, code generation harnesses, evaluation frameworks, and research pipelines integrated with internal data platforms. Key responsibilities include evaluating foundation models and agent architectures while making technical decisions regarding reliability, security, and cost. The role requires proficiency in programming languages such as Python, R, Java, or Scala, along with experience in LangChain, LangGraph, and Strands Agents. The position focuses on the clinical development domain, specifically streamlining data flow for Data and Statistical Sciences capabilities to support research across multiple therapeutic areas through automated operational processes and robust data modeling.

What you'll do

  • Build production-grade AI solutions including agent platforms, co-pilots, and code generation harnesses using modern frameworks.
  • Evaluate foundation models and agent architectures based on reliability, security, cost, and business impact.
  • Develop and maintain large-scale database architectures and process systems to support clinical development projects.
  • Create data products for transformation, metadata extraction, workload management, and error processing.
  • Implement automated operational and quality control processes to ensure accurate and timely reporting.
  • Develop data set processes specifically for data modeling and mining.
  • Optimize production AI solutions by improving quality, latency, cost efficiency, and governance.
  • Research new tools and techniques to improve existing data pipelines.

What we're looking for

  • Bachelor’s or Master's degree in statistics, mathematics, analytics, bioinformatics, data science, computer science, or a related field.
  • 4+ years of experience for BS holders, 2+ years for MS holders, or 1+ year for PhD holders in the relevant field.
  • At least 1 year of experience building production-grade AI solutions using frameworks like LangGraph, LangChain, or Strands Agents.
  • Proficiency in at least one general-purpose programming language such as Python, R, Java, Scala, C, C++, C#, Swift/Objective C, or JavaScript.
  • End-to-end experience with data including querying, aggregation, analysis, and visualization.
  • Experience in the biotech or pharmaceutical industry is preferred.
  • Preferred experience with Amazon Web Services (AWS) and publishing analytics via R Shiny or Plotly Dash.
  • Strong communication skills to explain complex technical solutions to non-technical audiences.

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