The Role
Design and implement scalable AI/ML and data-driven cloud or Kubernetes solutions. Build data and model pipelines, integrate enterprise CRMs, operationalize models with dev teams, manage stakeholders, and support CRM-driven and agentic AI use cases across concurrent projects.
Summary Generated by Built In
Job Title: Solution Architect – AI/ML & Cloud
Experience: 10+ Years
Location: Banaglore
Role OverviewWe 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
Skills Required
- 8+ years experience as a Solution Architect or Technical Architect
- 10+ years overall experience (listed in posting)
- PCAI / NVIDIA AI Enterprise experience (6+ months)
- AI/ML Engineering experience (4+ years)
- Kubernetes experience (4+ years); on-prem and cloud
- Big Data & Distributed Computing experience (4+ years)
- Architecting scalable cloud solutions (4+ years)
- Stakeholder management and strong communication skills
- Experience integrating enterprise applications / CRM into solutions
- Ability to operationalize solutions with development and IT teams
- Salesforce (SFDC) or ServiceNow understanding (Salesforce preferred)
- Hands-on experience with Salesforce Service Cloud or ticketing systems
- Experience supporting CRM and AI-based automation use cases
- NVIDIA AI Certification
- Cloud Certifications (AWS or Azure)
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The Company
What We Do
Veltris – Innovate, Accelerate, Transform to enable technology-driven Enterprise, Business, and Industry transformations. We are a next generation technology services company specializing in developing products, platforms and solutions in Data & Artificial Intelligence (“Data/AI”), Engineering R&D (“ER&D”) and Digital Product Engineering Services (“PES”).
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