Solution Architect – AI ML & Cloud

United States Digital Space LLC; Karnataka; On-site; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Global exposure to enterprise clients

Upskilling & certifications

Collaborative, innovative environment

Competitive compensation

Job summary

United States Digital Space LLC is seeking a Solution Architect with deep hands-on expertise in AI/ML, Big Data, and cloud-native architectures to design scalable enterprise solutions. The role balances technical mastery with stakeholder management and exposure to cutting-edge AI platforms and enterprise CRM integrations.

The candidate will design scalable architectures, build data and model pipelines, and collaborate with IT and development teams to deliver end-to-end enterprise solutions for

Qualifications

• 10+ years of experience as a Solution Architect or Technical Architect.
• PCAI / NVIDIA AI Enterprise experience (6+ months)
• AI/ML Engineering experience (4+ years)
• Kubernetes experience (4+ years)
• Big Data & Distributed Computing experience (4+ years)
• Architecting scalable cloud solutions experience (4+ years)
• Salesforce Service Cloud or CRM integration exposure is a plus
• Cloud certifications (AWS / Azure) are desirable

Responsibilities

• Design scalable AI/ML and data-driven solutions on cloud, Kubernetes, or on-prem and cloud.
• Build data processing, deployment, and model delivery pipelines.
• Manage stakeholders across business and operations to align with solution objectives.
• Collaborate with IT to integrate enterprise apps into the solution ecosystem.
• Work with developers to operationalize solutions and ensure deployment success.

Skills

PCAI / NVIDIA AI Enterprise

AI/ML Engineering

Kubernetes

Big Data & Distributed Computing

Cloud architecture

Job description

Job Information

Work Experience

10 - 12 YearsDate Opened

08/03/2026Industry

IT ServicesJob Type

Full Time EmploymentCity

Bangalore SouthState/Province

KarnatakaCountry

IndiaZip/Postal Code

560048

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