Senior Cloud Architect

Job SummaryWe're opening eyes, hearts and minds to the impact that a pharmacy team can have in changing lives.Join our group of talented, committed team members-pharmacists, pharmacy care coordinators, technologists, product strategists and more-to create and expand the delivery of personalized health support that people didn't even know could be possible.The Senior Cloud Architect for Stellus Rx will be a key member of our Technology Team, working closely with Stellus Rx leaders and across the organization to unlock the health of millions of Americans. We are a culture that is unabashedly driven by purpose — making a difference to patients and team members while growing at an accelerated rate.This role is designed for a cloud architect who actively uses AI to design more resilient, cost-efficient, and intelligent cloud environments — replacing manual architectural analysis with AI-augmented decision-making and embedding AI capabilities directly into the cloud infrastructure that powers Stellus Rx.Role and Responsibilities:AI-Informed Cloud Architecture DesignDefine and maintain the enterprise cloud architecture strategy across AWS environments — with deliberate design for AI/ML workloads, including compute, networking, storage, and security patterns optimized for model training and inference at scale.Use AI-assisted modeling and diagramming tools to accelerate architectural design, evaluate trade-offs across cost, complexity, performance, and resilience, and validate decisions against business requirements before implementation.Evaluate and adopt emerging cloud services and AI-native AWS capabilities (e.g., Amazon Bedrock, SageMaker, Rekognition) to continuously improve the organization's cloud capability and competitive positioning.Develop and maintain cloud architecture standards, reference architectures, and design patterns — using AI tools to generate, review, and keep documentation current with minimal manual overhead.Conduct architectural reviews and proof-of-concept efforts using AI-assisted analysis to validate new approaches before committing engineering resources.AI-Augmented Infrastructure as Code & AutomationDefine IaC standards and govern their adoption across engineering teams; use AI code generation tools (e.g., GitHub Copilot, Cursor, or similar) to accelerate Terraform and CloudFormation authoring, validate configurations, and identify misconfigurations before deployment.Design and oversee CI/CD pipeline architecture for cloud infrastructure delivery; use AI to optimize pipeline performance, detect drift, and recommend improvements continuously.Champion "everything as code" across cloud operations — using AI to automate routine infrastructure tasks, self-healing workflows, and policy enforcement rather than relying on manual intervention.Partner with CloudOps and DevOps engineers to translate architectural blueprints into production-ready infrastructure, providing hands-on guidance and AI-augmented design reviews.Cloud Security & Compliance ArchitectureDesign and enforce cloud security architecture aligned with OWASP principles, HIPAA, SOC 2, and NIST frameworks — using AI-enhanced security tooling to continuously monitor for misconfigurations, policy drift, and emerging vulnerabilities rather than relying on point-in-time audits.Define identity and access management (IAM) architecture including federation, RBAC, and zero-trust network design; use AI to model access patterns and detect anomalous behavior across the environment.Oversee cloud compliance auditing and reporting; use AI-assisted evidence generation to reduce manual audit preparation overhead and accelerate certification cycles.Coordinate with the Security Engineering team to ensure security controls are embedded into cloud architecture from the design stage, not bolted on after delivery.Cost Optimization & FinOps ArchitectureDesign cloud environments with cost efficiency as a first-class architectural concern; use AI-driven cost analysis and anomaly detection tools to continuously surface waste, right-size resources, and model optimization scenarios across the portfolio.Establish FinOps practices and governance frameworks that give engineering teams visibility into cloud spend and clear guardrails for cost-conscious architecture decisions.Use AI to model the cost implications of architectural decisions before deployment — replacing manual estimation with data-driven forecasting.Reliability, Scalability & PerformanceDesign cloud architectures for high availability, fault tolerance, and disaster recovery — applying AWS Well-Architected Framework principles and using AI-assisted analysis to validate resilience assumptions and identify single points of failure.Define performance baselines and SLAs; use AI-powered observability platforms to continuously monitor adherence and proactively surface degradation before it impacts users.Architect for scalability across compute, storage, and networking layers; use AI to model traffic patter