Platform Solution Architect

This is a US remote position. The Platform Solution Architect will play a critical leadership role in designing and scaling a modern, cloud-native, AI-enabled multi-sided platform that serves multiple stakeholder groups across the healthcare and Life Sciences ecosystem as well as multiple roles/personas within Aptitude Health.

The Platform Solution Architect will play a critical leadership role in designing and scaling a modern, cloud-native, AI-enabled multi-sided platform that serves multiple stakeholder groups across the healthcare and Life Sciences ecosystem as well as multiple roles/personas within Aptitude Health.

This individual will partner closely with Product Management, Engineering, Data, AI, and business stakeholders to define architectural standards, evaluate emerging technologies, and ensure our platform remains secure, scalable, resilient, and adaptable.

• Define and maintain the long-term architectural roadmap aligned with business objectives.
• Design scalable, secure, and highly available platform architectures that support multiple user constituencies, including Life Sciences customers, oncology physicians, researchers, and internal teams.
• Establish architectural principles, standards, governance processes, and best practices across the technology organization.
• Evaluate technology investments and guide architectural decision-making across products and engineering teams.
• Lead technical design reviews and provide architectural oversight for critical initiatives.

• Design systems that support diverse stakeholder experiences while maintaining a unified platform architecture.
• Drive platform capabilities that enable engagement, collaboration, insights generation, market research participation, and data exchange.
• Build extensible APIs, integration frameworks, and reusable platform services that accelerate product development.
• Architect systems that effectively manage identity, permissions, user segmentation, personalization, and workflow orchestration across multiple user groups.
• Ensure the platform can scale efficiently as user participation and data volumes grow.

• Champion an AI-first mindset throughout the software development lifecycle.
• Identify opportunities to incorporate Generative AI, intelligent agents, machine learning, and advanced analytics into both internal operations and customer‑facing experiences.
• Design architectures that leverage AI capabilities responsibly, securely, and at scale.
• Drive implementation of AI‑assisted engineering practices, including developer productivity tools, automated testing, code generation, and intelligent operational monitoring.
• Partner with Product and Data teams to create AI‑powered workflows that enhance the experience of Life Sciences customers and healthcare professionals.
• Establish architectural patterns for integrating large language models (LLMs), vector databases, retrieval systems, knowledge repositories, and agentic workflows.

• Collaborate with engineering leaders to ensure architectural consistency and technical quality.
• Define cloud architecture, integration strategies, data architecture, data pipelines, observability, and security frameworks.
• Support teams in resolving complex technical challenges and scaling bottlenecks.
• Drive adoption of modern engineering practices, including Dev Sec Ops , Infrastructure as Code, CI/CD, cloud automation, and platform engineering.
• Ensure architectural decisions consider maintainability, performance, security, regulatory requirements, and long‑term business value.

• Design architectures that support secure collection, storage,…