Solution Architect – AI ML & Cloud
Veltris Bengaluru, Karnataka, India
IT Services and IT Consulting · 501-1,000 employees
About the role
Design and architect scalable AI/ML and data-driven solutions on cloud or Kubernetes platforms. Manage stakeholders and collaborate with IT teams to integrate enterprise applications and operationalize AI solutions.
What they look for
Requirements
Requires 10+ years of experience with strong proficiency in AI/ML, Kubernetes, and Big Data architectures. Candidates should have a background in architecting scalable cloud solutions and experience with enterprise CRM integrations.
Benefits
Full description
Job Title: Solution Architect – AI/ML & Cloud
Experience: 10+ Years
Location: 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