Architect, Delivery Operations & AI Systems

## Company Description **About AbbVie** AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology, and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at [www.abbvie.com](http://www.abbvie.com/). Follow @abbvie on [LinkedIn,](https://www.linkedin.com/company/abbvie/) [Facebook](https://www.facebook.com/AbbVieGlobal/), [Instagram](https://www.instagram.com/abbvie/), [X](https://twitter.com/abbvie) and [YouTube.](https://www.youtube.com/user/AbbVie) ## Job Description This role will serve as the lead Architect for Delivery Operations, designing and governing enterprise-grade platforms, workflows, and integration patterns that enable scalable, secure, and reliable delivery of software, data, and AI-enabled solutions across R&D and Safety. This role is responsible for defining architectural strategy, guiding implementation teams, and ensuring that agentic, cloud, and enterprise application capabilities are translated into business value while meeting operational, compliance, and security standards. The Architect will act as a senior technical leader across product, engineering, operations, and data disciplines to modernize delivery capabilities, improve resilience, and establish scalable patterns for AI-enabled systems and traditional application ecosystems. **Responsibilities:** - Architect enterprise delivery solutions for complex business and scientific workflows, including software platforms, automation pipelines, integrations, and AI-enabled operational capabilities. - Define end-to-end architecture patterns for agentic and traditional systems, including orchestration, tool integration, event-driven services, APIs, cloud-native components, and enterprise data connectivity. - Lead design of LLM- and agent-based capabilities, including prompting/orchestration strategies, memory and context handling, retrieval-augmented generation (RAG), understanding of Model Context Protocol (MCP) structures and human-in-the-loop decision pathways. - Establish architecture guardrails for safety, security, compliance, observability, reliability, and cost management across AI and application delivery platforms. - Provide senior technical consultation to Delivery Operations leadership, product teams, software engineers, and business stakeholders on architecture decisions, technology selection, and implementation tradeoffs. - Design for operational resilience, including monitoring, telemetry, fallback mechanisms, access control, prompt injection protection, and service recovery patterns. - Drive cloud, DevOps, and MLOps architecture standards, including CI/CD pipelines, containerization, serverless workloads, message-based processing, and scalable runtime environments. - Evaluate emerging technologies and translate them into pragmatic, business-relevant architecture recommendations that improve productivity, delivery speed, quality, and risk management. - Lead cross-functional architecture alignment across product management, software engineering, data science, platform teams, and support organizations to ensure cohesive technical direction. - Mentor engineers and technical leads by promoting architecture best practices, reviewing designs, and helping teams solve highly complex implementation and operational challenges. **Core Agentic & AI Skills** - LLM Orchestration & Prompting: Deep understanding of how LLMs plan, reason, and act in enterprise workflows. - Tool & API Integration: Designing systems where agents safely invoke function-calling patterns and external/internal APIs. - Memory & Context Management: Architecting short-term and long-term memory strategies, including vector and graph-based context persistence. - Retrieval-Augment…