Chief Technology Officer - AI Healthcare

STAFFUPAPP CORPORATION
San Francisco, CA, United States
9 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Clean Code Principles Artificial Intelligence Cloud Computing Cloud Engineering Continuous Integration Data as a Services Relational Databases DevOps Python (Programming Language) PostgreSQL Machine Learning Software Architecture
+10 more
Google Cloud Large Language Models Prompt Engineering Generative AI Backend Agentic-AI Fastapi Data Management Api Design Software Version Control

Job description

This is an opportunity for an experienced technology executive who still enjoys architecting systems, solving technical problems, mentoring engineers, and building products-not simply managing them.

You will lead our technology strategy while remaining closely connected to engineering execution, AI innovation, data platforms, automation, and product development. You’ll work directly alongside executive leadership to shape the future of our healthcare technology ecosystem, helping us scale intelligent products that improve patient outcomes and operational efficiency.

This role combines executive leadership with hands-on technical influence. If your passion lies in creating high-performing engineering teams, designing scalable architectures, leveraging AI to solve real-world problems, and building products from concept to production, we’d love to hear from you.

What You’ll Lead

  • Define and execute technology strategy and roadmap
  • Build and mentor a high-performing global engineering organization
  • Drive software architecture, AI initiatives, automation, cloud infrastructure, and platform scalability
  • Establish engineering standards, governance, CI/CD, security, and development best practices
  • Partner with Founders to align technology investments with business priorities
  • Evaluate emerging technologies, AI models, and product opportunities

Requirements

  • Google Cloud Platform (GCP), including cloud-native architecture, infrastructure, and data services
  • AI/LLMs, prompt engineering, agentic AI, retrieval-augmented generation (RAG), and workflow automation
  • Software architecture and scalable system design
  • Python and modern backend development
  • API design and integration (REST/FastAPI or similar)
  • CI/CD, DevOps, and engineering best practices
  • Git/GitHub, version control, and engineering governance
  • PostgreSQL or equivalent relational databases

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