Solution Architect - AI ML

Veltris; Bengaluru; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Veltris in Bengaluru seeks a Senior Solution Architect with hands-on AI/ML, Big Data, and cloud-native design experience to deliver scalable enterprise solutions. You will align business needs with technical strategy and manage stakeholders across IT and operations.

Key responsibilities include designing AI-enabled data pipelines, integrating CRM systems, and guiding engineers to operationalize deployments on cloud and Kubernetes platforms.

Qualifications

• 8+ years of experience as a Solution Architect or Technical Architect.
• PCAI / NVIDIA AI Enterprise experience (6+ months)
• AI/ML Engineering (4+ years)
• Kubernetes (4+ years)
• Big Data & Distributed Computing (4+ years)
• Architecting scalable cloud solutions (4+ years)
• 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.
• NVIDIA AI Certification (highly desirable).
• Cloud Certifications (AWS / Azure).
• Strong problem-solving and solutioning mindset.
• Excellent communication and stakeholder management skills.
• Ability to manage end-to-end delivery across multiple projects.

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.

Skills

Solution Architecture

AI/ML Engineering

Kubernetes

Big Data

Cloud Architecture

CRM integrations

Stakeholder management

Problem solving

Tools

Salesforce Service Cloud

ServiceNow

AWS

Azure

NVIDIA AI Enterprise

Job description

Job Summary

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.

Location: Banaglore

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.
• PCAI / NVIDIA AI Enterprise experience (6+ months)
• AI/ML Engineering (4+ years)
• Kubernetes (4+ years)
• Big Data & Distributed Computing (4+ years)
• Architecting scalable cloud solutions (4+ years)
• 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.
• 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.