Requirements
Reporting To
CTO / Product Leadership
Role Overview
TechVerse is seeking a Principal AI Solutions Architect – Healthcare to lead the end-to-end technical design and delivery of a new generation of AI-powered clinical applications, including diagnostics, medical imaging, and clinical decision support systems.
This role is responsible for translating clinical and business requirements into scalable, secure, and compliant AI architectures, defining the technical roadmap, and leading the engineering team throughout the analysis, architecture, design, and construction phases.
The role combines deep technical leadership with hands-on architectural ownership, ensuring that AI solutions are production-grade, compliant, and aligned with healthcare standards.
Key Responsibilities
Solution Analysis & Architecture
Lead the technical discovery and analysis phase for healthcare AI use cases.
Translate clinical and business requirements into end-to-end AI solution architectures.
Define system architecture covering:
Data ingestion & pipelines
AI/ML model lifecycle
Application & integration layers
Deployment, monitoring, and scalability
Ensure solutions meet clinical safety, data privacy, and regulatory expectations.
AI & Data Architecture Leadership
Design architectures for:
Machine Learning & Deep Learning models
Generative AI (LLMs, clinical assistants, decision support)
Medical imaging & diagnostics pipelines
Define data engineering architectures including:
Data lakes, feature stores, and analytics platforms
Structured & unstructured healthcare data handling
Establish MLOps standards for:
Model training, validation, deployment, and monitoring
Versioning, retraining, and drift detection
Technical Leadership & Delivery Ownership
· Own the technical delivery of AI healthcare solutions end to end.
· Lead and mentor a local engineering team (≈5 engineers).
· Act as the technical authority across:
· Design reviews
· Architecture decisions
· Code and model quality
· Work closely with Product, CTO, and stakeholders to ensure alignment between vision and execution.
Security, Compliance & Standards
Ensure architectures comply with healthcare data protection principles (HIPAA-like controls, data governance, auditability).
Define security-by-design practices including:
Data encryption
Access control
Secure model deployment
Establish architectural standards and best practices for healthcare AI systems.
Collaboration & Stakeholder Engagement
Act as the technical bridge between business, product, and engineering teams.
Participate in solution discussions, requirement refinement, and technical decision-making.
Support internal product strategy with technical insights and feasibility assessments.
Required Technical Skills & Expertise
AI & Machine Learning
Strong experience in:
Machine Learning & Deep Learning architectures
Model lifecycle management in production
Experience with:
Clinical decision support systems
Medical imaging or diagnostics AI (preferred)
Generative AI
Hands-on experience designing or integrating:
LLM-based systems
AI assistants or decision-support tools
Understanding of prompt engineering, orchestration, and model governance.
Data Engineering & Analytics
Strong knowledge of:
Data pipelines, ETL/ELT processes
Healthcare data (structured & unstructured)
Experience with analytics platforms and large-scale data processing.
MLOps & Cloud Architecture
Experience designing and implementing:
CI/CD pipelines for ML
Model monitoring, retraining, and performance tracking
Cloud-native architecture experience (AWS, Azure, GCP, or OCI).
Leadership & Professional Skills
Proven ability to own architecture and technical delivery.
Strong analytical and problem-solving mindset.
Ability to translate complex business and clinical needs into technical solutions.
Excellent communication skills with technical and non-technical stakeholders.
Comfortable setting standards, making decisions, and being accountable.
What TechVerse Offers
Ownership of a strategic AI healthcare product from the ground up.
High-impact role shaping TechVerse’s AI healthcare roadmap.
Strong technical autonomy and architectural authority.
Opportunity to build and lead a core AI engineering team.
Professional, innovation-driven environment.