Solution AI Architect

 Relevant Experience: 8+ Years 

Role Overview:
We are seeking a Solution Architect with strong hands-on expertise in AI/ML, Big Data, and Cloud-native architectures to design and implement scalable enterprise-grade solutions. The role demands a balance of deep technical proficiency and strong stakeholder management, with exposure to cutting-edge AI platforms and enterprise CRM integrations.

Key Responsibilities:

Design and Architect scalable AI/ML and data-driven solutions on cloud or Kubernetes (on-prem and cloud). Build pipeline architecture for data processing, deployment, and model delivery. 

 Manage stakeholders across business and operations to ensure alignment with solution objectives. Collaborate with IT teams to integrate enterprise applications into the solution ecosystem.

 Work closely with developers to operationalize solutions and ensure successful deployment. Support multiple concurrent projects with varying business use cases and technical demands. 

 Provide solution support for use cases including: 

Case routing and knowledge retrieval

Agentic AI use cases (auto-actioning on cases, troubleshooting assistant)

CRM-driven use cases such as query resolution and customer interaction assistance.

Required Skills & Experience: 

8+ years of experience as a Solution Architect or Technical Architect. 

 Mandatory Skills:

 1. PCAI / NVIDIA AI Enterprise experience (6+ months)

 2. AI/ML Engineering (4+ years) 

 3. Kubernetes (4+ years)

4. Big Data & Distributed Computing (4+ years)

 5. Architecting scalable cloud solutions (4+ years)
Preferred Skills:

Salesforce (SFDC) or ServiceNow understanding (SFDC preferred). 

Hands-on experience with Salesforce Service Cloud or ticketing systems. 

 Experience supporting CRM and AI-based automation use cases.