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 atwww.abbvie.com. Follow @abbvie onLinkedIn,Facebook,Instagram,XandYouTube.

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 roleis responsible fordefining 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, andestablishscalable patterns for AI-enabled systems and traditional application ecosystems.

Responsibilities

• Architect enterprise delivery solutionsfor complex business and scientific workflows, including software platforms, automation pipelines, integrations, and AI-enabled operational capabilities.
• Define end-to-end architecture patternsfor 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 ofModel Context Protocol (MCP)structuresand human-in-the-loop decision pathways.
• Establish architecture guardrailsfor safety, security, compliance, observability, reliability, and cost management across AI and application delivery platforms.
• Provide senior technical consultationto Delivery Operations leadership, product teams, software engineers, and business stakeholders on architecture decisions, technology selection, andimplementationtradeoffs.
• Design for operational resilience, including monitoring, telemetry, fallback mechanisms, access control, prompt injection protection, and service recovery patterns.
• Drive cloud, DevOps, andMLOpsarchitecture standards, including CI/CD pipelines, containerization, serverless workloads, message-based processing, and scalable runtime environments.
• Evaluate emerging technologiesand translate them into pragmatic, business-relevant architecture recommendations that improve productivity, delivery speed, quality, and risk management.
• Lead cross-functional architecture alignmentacross product management, software engineering, data science, platform teams, and support organizations to ensure cohesive technical direction.
• Mentor engineers and technical leadsby promoting architecture best practices, reviewing designs, and helping teams solvehighly compleximplementation 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-Augmented Generation (RAG)/Model Context Protocols (MCP):Connecting agents to enterprise knowledge and data sources securely, accurately, and with traceability.

System Reliability & Governance

• Observability & Telemetry:Designing monitoring patterns for probabilistic systems, token consumption, latency, costs, and operational quality.
• Safety, Guardrails & Security:Implementing prompt protection, authorization controls, policy enforcement, fallback handling, and safe execution boundaries.
• Human-in-the-Loop Design:Creating escalation and approval pathways where human review isrequiredfor sensitive or high-risk decisions.

Enterprise Architecture Foundations

• Event-Driven Architecture:Designing asynchronous patterns where agent actions and enterprise services trigger downstream processes reliably.
• DevOps &MLOps:Establishingdeployment, release, and lifecycle management approaches for software and AI-enabled workflows.
• Cloud Infrastructure:Leveragingcloud-native services such as serverlesscompute, queues, workflow engines, and managed databases to support scalable operations.

Strategic & Leadership Skills

• Cross-Disciplinary Leadership:Bridging Product, Engineering, Data Science, and Operations to drive aligned solution delivery.
• Complex Problem Solving:Identifyingwhere agentic solutions provide meaningful business value and where conventional solutions are moreappropriate.
• Influence & Communication:Explaining complex architectural decisions clearly to both technical and non-technical stakeholders

Qualifications

Required:

• Bachelors degreein Computer Science, Engineering, Information Systems, Biomedical Engineering, or related fieldplus7 years' experience; ORMastersdegree plus 6 years' experience; ORPhD with 2 years experience
• Respective yearsof 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.
• Demonstrated 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 methods), operational support models, and platform reliability principles.
• Experience working in regulated environments and applying security, compliance, and data governance requirements in architecture decisions.
• Proven ability to evaluate emerging technologies and turn them into practical, scalable business solutions.
• Excellent written, verbal, and stakeholder communication skills.

Preferred

• Pharmaceutical, life sciences, R&D, or Safety domain experience.
• Deep knowledge of DevSecOps practices and CI/CD pipeline design, with hands-on experience in Azure-based development and deployment environments.
• Familiarity with modern enterprise technology platforms and tools, including Claude, Jira, Confluent, Docker, Git, JFrog, Tricentis (qTest/Tosca), ServiceNow, and Azure DevOps (ADO).
• Understanding of agentic development methodologies, including BMAD, with the ability to apply these approaches to scalable architecture and solution delivery.

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state orlocal law:

• The compensation range described below is the range of possible base pay compensation that the Companybelieves ingood faith it will pay for this role at the timeof this posting based on the job grade for this position.Individualcompensation paid within this range will depend on many factors including geographic location, andwemayultimatelypaymore or less than the posted range. This range may bemodifiedin thefuture.
• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick),medical/dental/visioninsurance and 401(k) to eligibleemployees.
• This job is eligible toparticipatein our long-term incentiveprograms.

Note: No amount of payis considered to bewages or compensation until such amount is earned, vested, anddeterminable.The amount and availability of any bonus,commission, incentive, benefits, or any other form ofcompensation and benefitsthat are allocable to a particular employeeremainsin the Company's sole andabsolutediscretion unless and until paid andmay bemodifiedat the Companys sole and absolute discretion, consistent withapplicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visithttps://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

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