Solution Architect – AI ML & Cloud

This is a remote position.

Job Title: Solution Architect – AI/ML & Cloud
Experience: 10+ Years
Location: Remote/ Hyderabad
RoleOverview

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