Designs and develops IT architecture solutions—spanning integrated processes, applications, data, cloud, and emerging technologies—to address complex business problems in alignment with enterprise architecture standards
Performs technical planning, architecture development, AI/ML integration, and modification of specifications
Develops specifications for new products/services, applications, and service offerings
Evaluates the compatibility and interoperability of products and services proposed as standards to ensure an integrated architecture across interdependent technologies and cloud ecosystems
Develop an architectural maturity model and strategic roadmap that moves teams from project delivery to production readiness and scales toward modern cloud-native, AI-enabled architectures
Lead the transition of work execution into Agile and AI-augmented delivery frameworks
Define and evolve enterprise patterns for AI/ML workloads, including model lifecycle, data pipelines, inference scalability, observability, and responsible AI controls
Drive the adoption of cloud-native architectures across platforms (e.g., Azure, AWS, GCP) to support scalability, cost optimization, and modernization initiatives
Introduce Generative AI and Agentic AI capabilities to enhance automation, developer efficiency, customer experiences, and decision intelligence
Establish architectural guardrails for LLM integration, prompt engineering, vector search, and AI agents within enterprise applications
Partner with Data, Cloud, and Security teams to ensure that AI-powered and cloud-based solutions meet regulatory, privacy, performance, and resiliency requirements
Build actionable insights using in-house reporting tools, AI-driven analytics, and architectural visualizations to enhance decision-making, transparency, and competitive advantage
Develop standard processes that improve decision-making speed, increase transparency, and support AI-enabled observability into team practices
Inspect architecture patterns to ensure the right models—cloud-native, microservices, event-driven, AI/ML, and GenAI-enabled—are leveraged for scalability, resiliency, reliability, stability, and availability
Apply advanced architectural knowledge to support teams in building seamless deployment and rollback strategies for key initiatives (e.g., Air Support, Omnichannel, Mail to Retail), including cloud and AI-powered components
Consult with key stakeholders across Digital, Business, AI, Cloud, and IT functions to understand impacts, communicate changes, and define best practices for architectural schematics and AI-enabled workflows
Develop processes to identify skill gaps and implement upskilling programs around cloud architecture, AI/ML engineering, GenAI, and modern delivery practices
Partner with Digital, Business, and IT organizations to drive innovative cloud and AI strategies across the retail pharmacy line of business
Lead architectural decision-making to ensure compliance with enterprise standards, including cloud governance, AI ethics, and emerging technology guidelines

Requirements

15+ years of relevant work experience (10+ years in architecture)
10+ years of experience building large scale business applications using modern technologies and architecture
10+ years of experience designing complex integrations with a focus on performance engineering and loose coupling using APIs, microservices, and event-driven architecture
8+ years of experience and proficiency with modern languages, frameworks, and technologies
6+ years of experience facilitating implementation of north star architectures by delivery teams through mentoring and building POCs, starter code, and other collaborative activities
Expert-level understanding of architectural methodologies/best practices, business climate, and/or regulation that affect architecture decisions
Recognized technical leader with full stack technology knowledge and recognized as an expert in one or more technical subjects
Substantial experience with requirements analysis, estimation, systems and application design, and testing
Expert understanding of architectural methodologies and the development of standards, architectural governance, design patterns and best practices
A diverse technical background with key areas of depth around AI/ML/Agentic AI, cloud, data platforms, hybrid solutions and operating at scale
Excellent collaboration, influencing, negotiation, coaching and coalition-building skills.
Bachelor's Degree is a must.

Benefits

Affordable medical plan options
401(k) plan (including matching company contributions)
Employee stock purchase plan
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching
Paid time off
Flexible work schedules
Family leave
Dependent care resources
Colleague assistance programs
Tuition assistance
Retiree medical access

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI/ML integrationcloud-native architecturemicroservicesevent-driven architectureAPIsperformance engineeringarchitectural methodologiesrequirements analysisdesign patternscloud architecture

Soft Skills

collaborationinfluencingnegotiationcoachingcoalition-buildingmentoringdecision-makingcommunicationleadershipstrategic planning

Certifications

Bachelor's Degree