Principal AI Solutions Architect Healthcare

Job Description Roles & Responsibilities 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. Desired Candidate Profile Requirements Company Industry IT - Software Services Department / Functional Area IT Software Keywords Principal AI Solutions Architect Healthcare Get real-time job updates only on our App