Solution Architect – AI ML & Cloud
VeltrisHoodi, Bangalore
it-jobs
Job 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
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