Solution Architect - AI ML

Veltris; Bengaluru; Sur place; INR 3 500 000 - 5 500 000; Plein temps

Avantages offerts par ce poste

Global clients

Upskilling culture

Collaborative environment

Competitive compensation

Résumé du poste

Veltris is seeking a Solution Architect with hands-on expertise in AI/ML, Big Data and cloud-native architectures to design scalable, enterprise-grade solutions. The role balances deep technical work with strong stakeholder management and exposure to cutting-edge AI platforms and CRM integrations.

You will design cloud- or Kubernetes-based architectures, build data processing and model deployment pipelines, and work with IT and development teams to operationalize solutions across multiple

Qualifications

• 8+ years of experience as a Solution Architect or Technical Architect.
• Mandatory skills: PCAI / NVIDIA AI Enterprise (6+ months), AI/ML Engineering (4+ years), Kubernetes (4+ years), Big Data (4+ years), cloud-architecture (4+ years).
• Preferred: Salesforce/ServiceNow understanding and CRM integration experience.

Responsabilités

• 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, knowledge retrieval, agentic AI, CRM-driven use cases.

Connaissances

PCAI / NVIDIA AI Enterprise

AI/ML Engineering

Kubernetes

Big Data & Distributed Computing

Architecting scalable cloud solutions

Description du poste

Job Title: Solution Architect - AI/ML & CloudExperience: 10+ YearsLocation: Banaglore

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.

Requirements

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: o Case routing and knowledge retrieval o Agentic AI use cases (auto-actioning on cases, troubleshooting assistant) o 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:o Salesforce (SFDC) or ServiceNow understanding (SFDC preferred). o Hands-on experience with Salesforce Service Cloud or ticketing systems.o 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.

Benefits

• Opportunity to work with global clients and emerging technologies
• Learning-driven culture with access to continuous upskilling
• Collaborative, inclusive, and innovative environment
• Competitive compensation and benefits