This role pays less than
82%
of similar roles. Most pay
$167,700–$235,750
— the shaded band above.
At the midpoint, this role pays about
$159k
versus about
$202k
for comparable roles.
Based on 239 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.
Architect, Delivery Operations & AI Systems serves as the lead architect for delivery operations, designing and governing enterprise-grade platforms, workflows, and integration patterns to deliver software, data, and AI-enabled solutions across R&D and Safety. The role involves defining architectural strategies, establishing guardrails for security and compliance, and building scalable systems for both agentic and traditional applications. Key responsibilities include designing LLM orchestration, retrieval-augmented generation (RAG), and Model Context Protocol structures while managing memory and context. Technical requirements include expertise in cloud-native components, event-driven architecture, MLOps, CI/CD pipelines, and containerization. The candidate will utilize tools like Azure, Docker, Git, and Confluent to solve complex business and scientific workflow challenges. This role bridges product, engineering, and data science teams to modernize delivery capabilities within a regulated environment focused on pharmaceutical and life sciences domains.
What does a Architect earn?
Median $235750 from 31 postings across 17 companies.
Design enterprise-grade architecture for software platforms, automation pipelines, and AI-enabled systems across R&D and Safety functions.
Define end-to-end patterns for agentic systems, including LLM orchestration, RAG frameworks, and Model Context Protocol structures.
Establish architectural guardrails for security, compliance, cost management, and reliability across all delivery platforms.
Provide technical consultation to leadership and engineering teams regarding technology selection and implementation trade-offs.
Design operational resilience features such as monitoring, telemetry, fallback mechanisms, and prompt injection protection.
Drive standards for cloud, DevOps, and MLOps including CI/CD pipelines and containerized environments.
Evaluate emerging technologies to create practical, business-relevant recommendations that improve delivery speed and quality.
Mentor engineers and technical leads on architecture best practices and complex implementation challenges.
What we're looking for
Bachelor’s degree in Computer Science, Engineering, Information Systems, Biomedical Engineering, or related field plus 7 years' experience; OR Master’s degree plus 6 years' experience; OR PhD with 2 years’ experience.
Experience in software engineering, enterprise architecture, solution architecture, or application/platform delivery roles.
Experience with AI/LLM-enabled systems, agent orchestration patterns, RAG frameworks, or secure enterprise AI architecture.
Experience designing and implementing large-scale enterprise application architectures.
Strong experience with cloud-native architecture, APIs, distributed systems, event-driven design, and modern software delivery practices.
Strong understanding of software development lifecycle (traditional and Agile), operational support models, and platform reliability principles.
Experience working in regulated environments applying security, compliance, and data governance requirements.
Pharmaceutical, life sciences, R&D, or Safety domain experience (preferred); DevSecOps knowledge with Azure experience (preferred).