Senior Cloud Architect

Job Summary

We'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 Design

- Define 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 & Automation

- Define 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 Architecture

- Design 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 Architecture

- Design cloud environments with cost efficiency