Solution Architect – AI ML & Cloud

Wavelabs Technologies; Bengaluru; On-site; INR 4,200,000 - 6,600,000; Full time

Job summary

Wavelabs Technologies is seeking a Solution Architect – AI/ML & Cloud to design scalable enterprise-grade solutions. The role combines hands-on AI/ML expertise with cloud-native architectures and strong stakeholder management across business and IT teams.

You will lead the design of data-driven, cloud-based solutions, develop deployment pipelines, and ensure successful production readiness across multiple projects with CRM and enterprise integration considerations.

Qualifications

• 8+ years of experience designing and delivering AI/ML enabled architectures.
• Experience with Kubernetes-based data processing and deployment pipelines.
• Strong knowledge of big data platforms and distributed computing.
• Proven ability to architect scalable cloud-native solutions.
• Excellent communication and stakeholder management skills.

Responsibilities

• Design and Architect scalable AI/ML and data-driven solutions on cloud or Kubernetes platforms (on-prem and cloud).
• Build pipeline architecture for data processing, deployment, and model delivery.
• Manage stakeholders across business and operations to align with solution objectives.
• Collaborate with IT teams to integrate enterprise applications into the solution ecosystem.
• Work 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: case routing, knowledge retrieval, CRM-driven interactions.

Skills

AI/ML Engineering

Kubernetes

Big Data

Cloud architectures

Stakeholder management

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:
  • Case routing and knowledge retrieval
  • Agentic AI use cases (auto-actioning on cases, troubleshooting assistant)
  • 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

• Salesforce (SFDC) or ServiceNow understanding (SFDC preferred).
• Hands-on experience with Salesforce Service Cloud or ticketing systems.
• 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