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 Solutions 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 an architect who doesn't just design systems — they actively integrate AI into architectural thinking, development workflows, and team enablement to deliver faster, smarter, and more resilient solutions.
Role and Responsibilities:
AI-Informed Architecture Design
Define and maintain all aspects of solution, technical, integration, and data architecture — with a deliberate focus on where AI and machine learning capabilities can be embedded into the architecture to improve outcomes, automation, and scalability.
Evaluate AI tools and frameworks as part of the technology roadmap; conduct AI-focused Proof of Concept efforts to validate architectural decisions before committing to implementation.
Ensure architectural decisions represent the best fit across cost, complexity, and speed of execution — using AI-assisted modeling and analysis to inform trade-off decisions rather than relying solely on manual assessment.
Develop high-level product specifications with attention to system integration, feasibility, and AI augmentation opportunities. Standards, Patterns & AI-Augmented Developer Enablement
Define and maintain development standards, patterns, and best practices — including standards for how the team leverages AI coding tools (e.g., GitHub Copilot, Claude, or similar) consistently and responsibly.
Build and maintain developer tools and technology upgrade roadmaps; guide developers in adopting AI-assisted workflows to accelerate delivery and improve code quality.
Conduct code reviews with an eye toward AI-generated code quality, reusability, and adherence to established standards.
Mentor developers and engineers, helping them effectively leverage AI tools to resolve roadblocks and produce better technical designs. AI-Assisted Research & Innovation
Continuously research emerging technologies, AI frameworks, and industry trends; maintain a living roadmap of adopted and candidate technologies.
Identify and evaluate AI tools that can improve product quality, team efficiency, or system capability — and build the case for adoption with leadership.
Stay current with AI/ML developments relevant to healthcare technology, including responsible AI practices, model integration patterns, and data governance considerations. Technical Delivery & Collaboration
Collaborate with product and engineering teams to determine functional and non-functional requirements for new software and applications.
Guide teams in creating technical designs that meet functional and performance requirements; oversee development progress to ensure consistency with initial design.
Coordinate technical tasks with technical and project owners to ensure timely, high-quality delivery.
Identify and communicate technical and business risks proactively; propose mitigation strategies informed by data and AI-generated analysis.
Ensure delivered solutions meet technical specifications and requirements for quality, security, modifiability, and extensibility; approve final products before launch.
Use tools and methodologies — including AI-assisted prototyping — to create representations of functions and user interfaces for desired products.
Qualifications and Requirements:
4+ years of proven experience as a solutions architect.
7+ years of software development experience using a modern programming language.
Excellent knowledge of software and application design and architecture principles.
Required: Demonstrated, hands-on experience integrating or leveraging AI tools in architecture design, development workflows, or technical decision-making — with specific examples you can speak to.
Strong experience with relational and NoSQL databases.
Experience with open-source technologies and cloud services; wide AWS knowledge required.
Experience with Camunda or similar workflow/orchestration platforms.
Strong understanding of software quality assurance principles.
High English proficiency, written and verbal.
Technical mindset with strong attention to detail, organizational skills, and leadership ability.
Outstanding communication and presentation abilities — able to convey complex architectural concepts clearly to both technical and non-technical audiences.
Preferred Experience:
Hands-on experience designing or integrating AI/ML models or LLM-based capabilities into production systems.
Experience with AI coding assistants and prompt engineering in a software development or architecture context.
Experience with Asynchronous APIs using queues, pub-sub, and/or Event-Driven Architecture; Kafka and/or EventStoreDB a plus.
Experience with Microservices and Serverless architecture.
Knowledge of React, Node.js, and JavaScript; familiarity with HTML/CSS and UI/UX design principles.
