Senior Solutions 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 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.

Originally posted on Himalayas