Solution Architect – AI ML & Cloud

Veltris; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Veltris in Bengaluru 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 across business and operations.

You will architect AI/ML pipelines, integrate CRM systems, collaborate with IT and development teams to deploy solutions, and support multiple projects with varying use cases.

Qualifications

• 8+ years as a Solution Architect or Technical Architect.
• 4+ years AI/ML engineering
• 4+ years Kubernetes
• 4+ years Big Data & Distributed Computing
• 4+ years Architecting scalable cloud solutions
• Cloud certifications (AWS / Azure) preferred

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.

Job description

Bangalore South, India | Posted on 08/03/2026

Job Title: Solution Architect – AI/ML & Cloud

Experience: 10+ Years

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 orKubernetes (on-prem and cloud).
• Build pipeline architecture for data processing, deployment, and model delivery.
• Manage stakeholders across business and operations to ensure alignment withsolution objectives.
• Collaborate with IT teams to integrate enterprise applications into the solutionecosystem.
• Work closely with developers to operationalize solutions and ensure successfuldeployment.
• Support multiple concurrent projects with varying business use cases and technicaldemands.
• 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 interactionassistance.

Required Skills & Experience

• 8+ years of experience as a Solution Architect or Technical Architect.
• 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)

• 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.

• Opportunity to work with global clients and emergingtechnologies
• Learning-driven culture with accessto continuous upskilling
• Collaborative, inclusive, andinnovative environment