Back
Remote posting plus metro location increases applicant pool, but niche senior AI-cloud skills limit density.
Core AI and cloud architecture skills transfer across industries despite healthcare domain preference.
Mandatory senior-level AI and cloud architecture experience and hands-on prototyping skills make screening stringent.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead architecture and delivery of scalable, secure, cloud-native AI systems on AWS and Azure.
Rapidly develop MVPs and prototypes for AI-enabled and agentic applications to validate ideas and accelerate value delivery.
Engage stakeholders to define requirements and provide architectural guidance and hands-on mentorship to engineering teams.
Senior-level experience as an individual contributor architect with delivery of production systems.
Hands-on expertise with AWS and Azure cloud platforms.
Experience designing and delivering AI-enabled applications, including rapid MVP and prototype development.
Practical experience with AI-assisted development tools (e.g., Cursor).
Experienced in architecting AI and agentic application workflows, including LLM-based systems.
Skilled at balancing hands-on prototyping with high-level architectural leadership and stakeholder engagement.
Preferably has domain experience in clinical/healthcare with knowledge of privacy, security, and compliance considerations.