Job Title: Solution Architect – AI/ML & Cloud
Experience: 10+ Years
Location: Banaglore
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.
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.
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.
-
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
