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Solution Architect - AI ML

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Onsite

Solution Architect - AI ML

Veltris

Solution Architect - AI ML

Skills

Big DataMachine LearningAIAWSKubernetesCRMSalesforceServiceNowSalesforce Service CloudAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

26 August 2026

What they need


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.

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