Solution Architect - AI ML & Cloud

Devoir Software Solutions; Bengaluru; On-site; INR 3,500,000 - 5,500,000; Full time

Benefits offered by this job

Global client exposure

Upskilling culture

Collaborative environment

Competitive compensation

Job summary

Devoir Software Solutions is seeking a Solution Architect with strong hands-on expertise in AI/ML, Big Data, and Cloud-native architectures to design scalable enterprise-grade solutions. The role balances deep technical proficiency with stakeholder management and exposure to cutting-edge AI platforms and CRM integrations.

The candidate will design pipelines, coordinate with IT teams, and work with developers to optimize deployment across cloud, on-prem, and Kubernetes environments while

Qualifications

• Demonstrated experience with AI platforms and enterprise CRM integrations.
• Strong design and implementation of scalable AI/ML data-driven solutions.
• Experience leading end-to-end cloud-native architectures across on-prem and cloud environments.

Responsibilities

• Design and architect scalable AI/ML and data-driven solutions on cloud, Kubernetes, or on-prem.
• Build data processing, deployment, and model delivery pipelines.
• 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 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 CRM-driven and AI-based automation use cases.

Skills

PCAI / NVIDIA AI Enterprise

AI/ML Engineering

Kubernetes

Big Data Distributed Computing

Architecting scalable cloud solutions

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

• 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