Job Description Summary
We are looking for a highly skilled Senior Staff AI & Cloud Solution Architect to lead the design and development of scalable AI platforms and intelligent solutions on AWS. This role requires deep expertise across AI/ML engineering, cloud architecture, MLOps, and Generative AI, along with robust experience in building enterprise-grade, secure, and compliant SaaS platforms.

You will be responsible for architecting end-to-end AI systems, enabling machine learning and deep learning engineering workflows, and driving innovation in GenAI and agentic AI solutions. This role sits at the intersection of platform engineering, data architecture, and applied AI, with a strong focus on scalability, reliability, and governance.

GE Healthcare is a leading global medical technology and digital solutions innovator. Our mission is to improve lives in the moments that matter. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.
Job Description




Key Responsibilities
AI Platform & Solution Architecture
Design and build scalable, multi-tenant AI platforms on AWS supporting diverse ML and GenAI use cases.
Define reference architectures, reusable components, and best practices for AI/ML systems.
Architect end-to-end AI pipelines spanning data ingestion, feature engineering, model training, deployment, and monitoring.
Ensure platform readiness for SaaS environments, including tenant isolation, scalability, and cost optimization.
Machine Learning & Deep Learning Engineering
Lead development of machine learning and deep learning models for production-grade applications.
Establish standards for ML engineering, including data preprocessing, feature stores, training pipelines, and inference services.
Optimize model performance, scalability, and latency for real-time and batch inference systems.
Generative AI & Agentic AI Systems
Design and implement G

📌 Senior Staff Solution Architect (Bengaluru)
🏢 GE Healthcare
📍 Bengaluru