GCP AI Architect

🌍 Remote, USA πŸ’Ή Full-time πŸ• Posted Recently

Job Description

Solutions Architect - Cambridge, MA/ Remote

GCP AI Architect for Agentic AI

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Position Summary:

We are looking for an experienced Solution Architect to design, implement, and oversee technical solutions for our AI-enabled healthcare product portfolio. The ideal candidate combines technical depth in AI, cloud, and healthcare industry with a strategic mindset, ensuring our products meet clinical needs, regulatory obligations, and scalability standards.

Job Description:

    Primary Responsibilities
  • Lead and take ownership of the end-to-end solution architecture for AI-enabled healthcare products.
  • Collaborate with product managers, application architects, other solution architects, AI/ML engineers, backend/frontend developers, data scientists, clinical experts to translate business and clinical requirements into robust technical architectures. ​
  • Design scalable, secure, and compliant system architectures integrating AI, cloud infrastructure, and healthcare data standards (e.g., FHIR).
  • Ensure solutions align with industry best practices on security, privacy (HIPAA, GDPR)
  • Define data integration, interoperability, and migration strategies with existing EMRs, HIS, or other healthcare IT systems.
  • Oversee interface designs, API specifications, and data pipelines connecting AI models with healthcare systems and user applications.
  • Troubleshoot complex technical challenges, balancing short-term delivery and long-term scalability/maintainability.
    Qualifications
  • Bachelor's degree in related field or equivalent
  • 12+ years of experience in solution architecture, software engineering, or technical leadership roles, ideally within healthcare or life sciences.
  • Demonstrated experience designing and deploying production-grade AI/ML solutions, preferably in healthcare contexts.
  • Experience with Conversational AI based products preferred.
  • Expertise with cloud platforms (AWS, GCP) and scalable cloud architectures. GCP experience will be a big plus.
  • Strong understanding of healthcare data protocols and integration (HL7, FHIR, etc.).
  • Excellent problem-solving, communication, and documentation skills; able to present complex technical concepts to diverse audiences.
  • Bachelor’s degree in Computer Science, Engineering, or related field; advanced degree preferred.
  • Industry certifications (e.g., AWS/GCP/Azure Solutions Architect, TOGAF) a plus.

Job Type: Contract

Pay: $60.00 - $75.00 per hour

Expected hours: 40 per week

    Experience:
  • Google Cloud Platform: 5 years (Required)
  • HIPAA: 4 years (Required)
  • HL7: 1 year (Required)
  • Healthcare Domain: 5 years (Required)
  • AI/ML Engineering: 7 years (Required)

Work Location: Remote

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