System Architect

Role Overview

As System Architect, you will drive the design and evolution of RISA Labs’ core architecture. You’ll work across engineering, AI, product, and infrastructure teams to ensure that every component — from data pipelines to microservices to deployment environments — fits into a unified, scalable, and secure system.

This role is ideal for a technical leader who can combine deep technical knowledge with big-picture thinking, helping bridge the gap between architectural vision and execution.

Responsibilities

• End-to-End System Design: Architect scalable, modular systems that integrate backend services, AI/ML pipelines, real-time data flows, and enterprise-grade APIs.
• Cross-Platform Integration: Design architectures that support interoperability between services, including LLM agents, data processing engines, and clinical systems.
• Performance & Scalability: Lead the optimization of systems to handle large volumes of transactions with low latency and high availability.
• Cloud & Infrastructure Strategy: Define architecture across multi-cloud environments (AWS, GCP, Azure), Kubernetes clusters, and serverless environments.
• Security & Compliance: Architect systems with privacy, encryption, and access control as defaults — with built-in support for HIPAA, SOC 2, ISO 27001, and other standards.
• Collaboration & Communication: Partner with engineering, product, and AI teams to translate requirements into system blueprints and guide implementation.
• Technical Leadership: Serve as a mentor and strategic advisor to engineering teams, driving technical decision-making and setting architectural standards.
• Documentation & Governance: Produce architectural documentation, interface specs, and decision logs to support transparency and long-term maintainability.
• Technology Evaluation: Stay current with emerging technologies and frameworks; evaluate and recommend tools that improve architecture and developer velocity.

Qualifications

• 7+ years of experience in systems architecture, software engineering, or infrastructure design
• Proven experience designing distributed systems, microservices, and event-driven architectures at scale
• Strong experience with cloud-native technologies, including AWS, GCP, Docker, Kubernetes, and serverless platforms
• Familiarity with enterprise integration patterns, data streaming (Kafka, Pub/Sub), and API gateways
• Solid understanding of database systems (SQL, NoSQL, graph) and designing scalable data pipelines
• Experience with AI/ML infrastructure or integrating intelligent systems into production applications
• Expertise in security-by-design principles, with exposure to compliance frameworks like HIPAA, SOC 2, and ISO 27701
• Excellent communication and collaboration skills; comfortable aligning technical and non-technical stakeholders
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (PhD is a plus)