Enterprise Architect, AI-Driven Delivery Operations

AbbVie

North Chicago (IL)

On-site

USD 120,000 - 160,000

Full time

14 days+

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Benefits offered by this job

Comprehensive benefits package
Eligible for long-term incentive programs
401(k) plan

Job summary

AbbVie is looking for a Lead Architect for Delivery Operations to design and govern enterprise-grade platforms that support the scalable and reliable delivery of software and AI-enabled solutions. The role involves leading cross-functional teams and modernizing delivery capabilities across product and engineering disciplines.

Qualified candidates will have significant experience in software engineering, enterprise architecture, and AI systems, along with a strong understanding of cloud-native architecture principles.

Qualifications

  • At least 7 years of experience in software engineering or enterprise architecture.
  • Experience with AI/LLM-enabled systems and secure enterprise AI architecture.
  • Proven ability to evaluate emerging technologies and turn them into scalable solutions.

Responsibilities

  • Architect enterprise delivery solutions for complex workflows.
  • Define architecture patterns for various systems including orchestration and cloud-native components.
  • Lead design of LLM and agent-based capabilities.

Skills

LLM Orchestration & Prompting
Tool & API Integration
Memory & Context Management
Retrieval-Augmented Generation (RAG)

Education

Bachelor’s degree in Computer Science or related field plus 7 years’ experience
Master’s degree plus 6 years’ experience
PhD with 2 years’ experience

Tools

Azure
Jira
Docker

Job description

AbbVie is looking for a Lead Architect for Delivery Operations to design and govern enterprise-grade platforms that support the scalable and reliable delivery of software and AI-enabled solutions. The role involves leading cross-functional teams and modernizing delivery capabilities across product and engineering disciplines.

Qualified candidates will have significant experience in software engineering, enterprise architecture, and AI systems, along with a strong understanding of cloud-native architecture principles.

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