Solution Architect - Enterprise AI

Job Title - Solution Architect - Enterprise AI

Location: Kharadi, Pune, India.

Life Unlimited. At Smith+Nephew, we design and manufacture technology that takes the limits off living.

Smith+Nephew is seeking a Solution Architect - Enterprise AI to design scalable, secure, and business-ready AI solutions that improve decision-making, productivity, and user experience across Manufacturing, MedTech, Commercial, and Procurement domains.

This role will focus on enterprise AI solution architecture, GenAI-enabled business capabilities, reusable AI design patterns, integration with ERP, commercial, procurement, manufacturing, data, analytics, and collaboration platforms, and responsible delivery of AI products in regulated MedTech environments.

The Solution Architect will partner with business stakeholders, product owners, enterprise architecture, data and analytics teams, cybersecurity, legal, compliance, delivery teams, and external vendors to translate business needs into practical Enterprise AI solutions. The role will support the full IT project lifecycle, provide AI design assurance, guide responsible AI adoption, and help shape "coach on the shoulder" initiatives that embed contextual guidance, automation, and intelligent assistance into business workflows.

What will you be doing?

Enterprise AI Solution Design & Architecture Patterns

• Design Enterprise AI and GenAI solutions that are scalable, secure, user-centric, and aligned to business outcomes across Manufacturing, MedTech, Commercial, and Procurement domains.

• Create AI solution blueprints, reference architectures, reusable design patterns, data flow views, integration approaches, and delivery-ready architecture documentation.

• Translate business opportunities into practical AI-enabled capabilities, including intelligent assistants, knowledge discovery, workflow automation, insight generation, and decision support.

• Identify solution risks, data dependencies, model limitations, non-functional requirements, adoption considerations, and options for reuse, simplification, and long-term maintainability.