A Brief Overview:

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.

What You Will Do:

Architectural Strategy & Maturity

• 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.

AI/ML, Cloud, and Generative AI Integration

• 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.

Insights & Visualization

• Build actionable insights using in-house reporting tools, AI-driven analytics, and architectural visualizations to enhance decision-making, transparency, and competitive advantage.

Process Development & Governance

• 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.

Deployment Support & Technical Guidance

• 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.

Cross-Functional Consultation & Leadership

• 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.

Relationship Building & Strategy

• 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.

Required Qualifications:

• 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.
• Experience recognizing the impact architectural approaches can have on strategic business decisions.
• 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.
• Experience with requirements analysis, estimation, systems design, and application design.
• Excellent collaboration, influencing, negotiation, coaching and coalition-building skills.
• Bachelors Degree is a must.

Preferred Qualifications:

• Masters Degree
• Experience developing architecture using agile methodology or SAFe practices.
• Experience in AI architecture and practical application of AI technologies.
• Experience with the concepts and practical application of Generative AI, Agentic AI.
• A self-starter that is naturally inquisitive.

Education:

Bachelor’s degree in computer science or related field or equivalent experience.