Architect

Navina is a fast-growing digital health SaaS company that’s on a mission to transform the way physicians interact with patient data. Thousands of clinicians across the United States already use Navina’s AI-powered solution that transforms complex and fragmented patient data into concise “patient portraits" and actionable clinical insights at the point of care. With Navina, physicians experience less burnout, reduce missed diagnoses, and can devote more time giving better care to their patients.

Navina has been named one of the Top 100 AI companies globally by CB Insights and made the list of the Top 50 Digital Health startups. We are already working with industry-leading value-based organizations including Privia Health and Agilon.

We are seeking a Senior Software Architect to lead and shape the architectural vision of our SaaS healthcare platform, guide the adoption of cutting-edge AI technologies, and ensure our solutions remain scalable, secure, and future-ready.

This is a hands-on, strategic leadership role that combines visionary system design, proof-of-concept development, and AI-first innovation enablement.

Requirements:

10+ years in professional software development, with at least 5 years in a principal architect, solution architect, or senior technical leadership role in a SaaS product.
Proven experience designing and delivering complex, scalable, cloud-based SaaS systems (preferably in healthcare or other regulated industries).
Deep expertise with AWS cloud architecture, including serverless, containerization, microservices, data engineering and pipelining, and storage.
Proficiency in modern programming languages (e.g., Python, TypeScript, Node.js)
Hands-on experience with AI/ML tooling, including LLM integration, developer productivity platforms, MCP/agent-based architectures, and AI-enhanced workflows.
Strong leadership, mentoring, and decision-making skills.
Excellent written and verbal communication skills in Hebrew and English, with the ability to influence stakeholders at all levels.

Preferred Qualifications

Experience in healthcare technology with an understanding of HIPAA, HL7/FHIR, and interoperability standards.
Familiarity with data engineering and analytics platforms for real-time and batch processing.
Exposure to security and compliance frameworks relevant to SaaS in regulated industries.

You don’t need to meet 100% of the requirements to be a great fit. We believe in hiring people, not just checklists, and we value potential as much as experience. If this role excites you, we’d love to see your application!

Responsibilities:

1. Architectural Leadership

Define, communicate, and evolve the platform’s architectural vision to ensure alignment with business goals.
Lead high-level design discussions and decisions for new and existing products.
Establish and maintain architectural principles, standards, and patterns across all engineering teams to ensure consistency and coherence.
Drive cloud-native architecture in AWS with a strong focus on scalability, availability, performance, and cost efficiency.

2. Innovation & Emerging Technology

Build POCs and pilots for new solutions, frameworks, and AI capabilities.
Evaluate emerging trends in AI, LLMs, MCPs, agents, and developer productivity tools, ensuring strategic adoption where relevant.
Initiate projects/features to solve widespread problems (including work with Support, DevOps, Infosec…)

3. AI Tooling Evangelism

Spearhead engineering-wide adoption of AI-assisted development workflows, including developer productivity tools, code copilots, automated quality checks, and automated documentation.
Define best practices, guidelines, and governance for AI usage in development (e.g., Cursor configuration rules, prompt engineering standards).
Educate and mentor teams on effective AI utilization for engineering, product, and operational tasks, taking into account security, costs, and compliance.

4. Technical Governance & Best Practices

Overall ownership of the system scalability, COGS, and stability of the Navina product(s)
Define standards for coding, testing, CI/CD, and monitoring.
Enforce architectural and design reviews for key initiatives.

5. Cross-functional Collaboration

Work closely with Engineering, Product, Data Science, DevOps, and Security teams to deliver well-architected solutions.
Communicate complex technical concepts to non-technical audiences, including executives and external partners.

Collaborate with customers and partners when needed to align architecture with integration requirements.