Senior AI Integration and Workflow Architect

About 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.

Job Location : Ghansoli, Navi Mumbai

Experience required : 4+ Years of experience.

Shift Timings : 2:00 PM to 11:00 PM

Roles & Responsibilities :

Design & Development

• Architect and build AI-powered tools using LLMs (e.G., OpenAI, Claude, Mistral, etc.).
• Integrate and customize AI agents using frameworks like LangChain, CrewAI, or custom solutions.
• Collaborate with product and research teams to translate requirements into prompt workflows and agent behaviors.
• Design and implement scalable systems and infrastructure to support AI agents and workflows, using suitable tools and technologies.

Prompt Engineering & Agentic Workflows

• Design advanced, modular prompt chains that incorporate memory, dynamic context injection, and multi-step reasoning across agent workflows.
• Experiment with and optimize agentic architectures for real-world tasks (retrieval, generation, summarization, etc.).

Front-End Integration

• Collaborate with UI/UX or front-end teams to integrate AI-powered features into user-facing applications as needed.

Adaptability & Learning Mindset

• Willingness and ability to quickly learn and adapt to new technologies, frameworks, and tools as needed. Open to working across the stack to support the development of AI-powered solutions. Comfortable stepping beyond core skill sets to contribute wherever needed in the AI application lifecycle.

Testing & DevOps

• Write unit and integration tests to ensure reliability.
• Participate in code reviews, CI/CD pipelines, and deploy models/services using best practices.

Mentorship & Collaboration

• Upskill peers in GenAI, prompt engineering, and best practices.
• Contribute to knowledge-sharing and architectural reviews across teams.
• Stay updated with evolving AI ecosystems, tools, and research.