Solutions Architect

About the Company:

WebMD Health Corp., an Internet Brands Company, is the leading provider of health information services, serving patients, physicians, health care professionals, employers, and health plans through our public and private online portals, mobile platforms, and health-focused publications. The WebMD Health Network includes WebMD Health, Medscape, Jobson Healthcare Information, prIME Oncology, MediQuality, Frontline, QxMD, Vitals Consumer Services, MedicineNet, eMedicineHealth, RxList, OnHealth, Medscape Education, and other owned WebMD sites. WebMD, Medscape, CME Circle, Medpulse, eMedicine, MedicineNet, theheart.org, and RxList are among the trademarks of WebMD Health Corp. or its subsidiaries.

Position : Solutions Architect

Education: B.E. Computer Science/IT degree (or any other engineering discipline)

Work Timings: 2 PM to 11 PM IST

Job Location :

Position Requirements:

• 10+ years of strong expertise in designing and building modern full-stack applications, includes front end, Back end, APIs , microservices and system architecture
• Hands-on experience with Large Language Models (LLMs) and building AI-driven AI agents.
• Strong proficiency in Python, TypeScript, with experience integrating model APIs and developing AI-enabled features.
• Good understanding of AI agent architectures, prompt engineering, context management, and Retrieval-Augmented Generation (RAG).
• Experience with modern developer tools and AI-assisted coding environments ( Cursor, Replit & Cline) and AI enhanced workflows.
• Strong leadership, problem-solving, and communication skills with the ability to mentor teams and collaborate with cross-functional stakeholders.

Research and evaluate emerging AI models, agent frameworks, and tools to identify

opportunities for innovation and practical application

Design and implement scalable Agentic AI solutions within existing systems, ensuring

reliability, performance, and data privacy

Develop proof-of-concepts and prototypes to validate new approaches, including prompt

engineering, fine-tuning, and multi-agent orchestration.

Provide technical leadership by mentoring engineers, leading architecture discussions, and

contributing to shared AI frameworks and best practices

Stay updated with AI industry trends and advancements, promoting knowledge sharing and

driving AI adoption across the organization.