Senior Staff Enterprise Architect

Overview

Senior Staff Software Architect to define the long-term architecture and technology roadmap for GE HealthCare's large-scale customer-facing digital platform, including its Generative AI and Agentic AI strategy.

What you'll do

• Define and drive the long-term technology and architecture roadmap for a large-scale customer-facing platform.
• Shape architecture across multiple product pillars, creating reusable patterns and driving technology consistency where it adds value.
• Partner closely with Product Managers, Business Analysts, regional stakeholders, UI architects and engineering teams to turn business strategy into scalable technology solutions.
• Stay hands-on with architecture and critical technical challenges across React.js, Node.js, GraphQL, PostgreSQL, AWS and Azure.
• Evaluate and introduce modern frameworks, cloud services, engineering tools and emerging technologies.
• Drive adoption of AI-assisted software engineering and AI Development Lifecycle (AI-DLC) practices to improve developer productivity, quality, automation and speed of delivery.
• Define and drive the platform's Generative AI and Agentic AI strategy, identifying opportunities to build intelligent capabilities into customer-facing products.
• Establish architecture principles, engineering standards, reference architectures and technical guardrails.
• Drive critical non-functional requirements including reliability, availability, scalability, performance, security and maintainability.
• Define strategies for monitoring, logging, auditing, observability and production diagnostics.
• Identify and address architectural bottlenecks, technical debt and opportunities for platform modernisation.
• Influence and mentor Tech Leads, senior engineers and architects, building a strong engineering and architecture culture.

What you'll need

• Deep hands-on experience with React.js, Node.js, JavaScript/TypeScript and modern web application architecture.
• Strong experience designing distributed and cloud-native systems using AWS and Microsoft Azure.
• Hands-on knowledge of AWS services including Lambda, RDS and S3.
• Strong experience with GraphQL, PostgreSQL and Solr or similar search platforms.
• Experience with Akamai or comparable edge, content delivery and security technologies.
• Strong knowledge of APIs, integration patterns and scalable distributed architectures.
• Experience designing for high availability, reliability, performance, scalability and security.
• Strong understanding of observability, monitoring, logging, auditing and production diagnostics.
• Experience with CI/CD, automated testing, DevSecOps and modern software engineering practices.
• Practical knowledge of Generative AI, large language models, AI agents and Agentic AI architectures.
• Passion for applying AI to both customer-facing products and the software engineering lifecycle.
• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology or a related discipline, or equivalent practical experience.
• 15+ years of software engineering experience, including significant architecture and technical leadership experience.
• Proven experience designing or modernising large-scale customer-facing digital platforms.
• Demonstrated ability to influence architectural and technology decisions across multiple engineering teams or product areas.
• Strong communication and stakeholder-management skills, with the ability to explain complex technical decisions to both engineering and business audiences.

Details

• Location: Bengaluru, India (EPIP 122 Phase II).