Solution Architect

Skills
AWS Azure AI/ML & Cloud

Job Description

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.

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.

Job Requirement

Required Skills & Experience
● 8+ years of experience as a Solution Architect or Technical Architect.
● Mandatory Skills:
○ PCAI / NVIDIA AI Enterprise experience (6+ months)
○ AI/ML Engineering (4+ years)
○ Kubernetes (4+ years)4. Big Data & Distributed Computing (4+ years)
○ 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.

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.