Veltris
Solution Architect - AI ML
Skills
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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