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Principal Architect

Roles & Responsibilities

  • 15+ years of experience in software development and architecture.
  • Hands-on expertise with Google Cloud Platform (GCP) or other cloud platforms (AWS/Azure).
  • Strong background in rapid prototyping and MVP delivery.
  • In-depth knowledge of Generative AI, including prompt engineering, API integration, Vertex AI, and deploying LLMs in production.

Requirements:

  • Design and architect cloud-native solutions on Google Cloud Platform (GCP) for healthcare applications.
  • Rapidly prototype and iterate to validate technical and product feasibility.
  • Integrate and leverage Generative AI models and frameworks (LLMs, Vertex AI, Hugging Face, etc.) to build intelligent solutions.
  • Write clean, scalable code and develop infrastructure as code (Terraform, GCP Cloud Run, Firestore, PubSub, BigQuery, etc.).

Job description



Title: Principal Architect (Cloud, Rapid Prototyping & GenAI)
Location: Remote (USA)
Job Type: Contract
US Citizens, GC visa holders preferred, NO third party corp to corp accepted for this job


Key Responsibilities
  • Design and architect cloud-native solutions on Google Cloud Platform (GCP) for healthcare applications.
  • Rapidly prototype and iterate to validate technical and product feasibility.
  • Integrate and leverage Generative AI models and frameworks (LLMs, Vertex AI, Hugging Face, etc.) to build intelligent solutions.
  • Write clean, scalable code and develop infrastructure as code (Terraform, GCP Cloud Run, Firestore, PubSub, BigQuery, etc.).
  • Collaborate with cross-functional teams (product, engineering, and data science) to translate business needs into technical designs.
  • Ensure architectures comply with security, scalability, and healthcare regulations (HIPAA, FHIR, HL7).
  • Research, evaluate, and recommend emerging technologies and frameworks to drive continuous innovation.

Qualifications & Requirements
  • 15+ years of experience in software development and architecture.
  • Proven hands-on expertise with GCP (preferred) or other cloud platforms (AWS/Azure).
  • Strong background in rapid prototyping and MVP delivery.
  • In-depth knowledge of Generative AI, including prompt engineering, API integration, Vertex AI, and deploying LLMs in production.
  • Proficient in Python, TypeScript, and frameworks such as FastAPI for REST APIs.
  • Experience with containerization (Docker) and infrastructure as code (Terraform).
  • Familiarity with frontend frameworks (React) is a plus.
  • Understanding of healthcare standards and compliance (FHIR, HL7, HIPAA) is highly desirable.
  • Self-driven, innovative, and comfortable working in a fast-paced, ambiguous environment.

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