Veltris - Solution Architect - AI/ML Cloud

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), and 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.

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.