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.

Requirements

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: o Case routing and knowledge retrieval o Agentic AI use cases (auto-actioning on cases, troubleshooting assistant) o 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:

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

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

o Experience supporting CRM and AI-based automation use cases.

Certifications (Preferred)

• NVIDIA AI Certification (highly desirable).

• Cloud Certifications (AWS / Azure).

Key Attributes

• Strong problem-solving and solutioning mindset.

• Excellent communication and stakeholder management skills.

• Ability to manage end-to-end delivery across multiple projects.

Benefits

Opportunity to work with global clients and emerging technologies
Learning-driven culture with access to continuous upskilling
Collaborative, inclusive, and innovative environment
Competitive compensation and benefits

Solution Architect – AI ML & Cloud

Key skills

About this role

Role Overview

Requirements

Benefits