Solution Architect – AI ML & Cloud

Veltris; Bengaluru Urban; On-site; INR 2,500,000 - 3,500,000; Full time

Benefits offered by this job

Global client exposure

Learning-driven culture

Collaborative environment

Job summary

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

Responsibilities include designing scalable AI/ML and data-driven architectures, building deployment pipelines, and coordinating with IT and dev teams to ensure successful implementation across

Qualifications

• 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)

Responsibilities

• Design scalable AI/ML and data-driven solutions on cloud or Kubernetes (on-prem and cloud).
• Build data processing, deployment, and model delivery pipelines.
• Manage stakeholders across business and operations to align with objectives.
• Integrate enterprise applications into the solution ecosystem with IT teams.
• Collaborate with developers to operationalize solutions and deploy successfully.
• Support multiple concurrent projects with varying use cases and tech demands.
• Provide solution support for CRM-driven and AI-based automation use cases.

Skills

AI/ML Engineering

Kubernetes

Big Data & Distributed Computing

Architecting scalable cloud solutions

Stakeholder management

Tools

AWS / Azure Certifications

Job description

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 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.
• 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 emerging technologies
• Learning-driven culture with access to continuous upskilling
• Collaborative, inclusive, and innovative environment