Solution Architect AIML Platform On-Premises Private Cloud

Tekskills Inc.; Bengaluru; On-site; INR 3,500,000 - 5,200,000; Full time

Job summary

Tekskills Inc. is seeking an experienced Solution Architect to lead enterprise AI/ML platforms within secure on-premises and private-cloud environments in Bengaluru. You will own end-to-end architecture, design AI/ML evaluation and MLOps platforms, and govern secure infrastructure with RBAC/IAM and encryption.

The role requires strong leadership, client-facing communication, and hands-on expertise with Kubernetes/OpenStack and GPU clusters to ensure scalable, reliable, and compliant deployments.

Qualifications

• 10+ years IT experience.
• 5+ years as a Solution Architect for on-premises/private-cloud apps.
• AI/ML platform architecture, MLOps, evaluation or benchmarking.
• Kubernetes or OpenStack experience.
• Secure infrastructure architecture and access controls.
• GPU infrastructure and cluster scheduling knowledge.
• RBAC, IAM, encryption, and security governance.
• Strong client-facing communication and technical leadership.

Responsibilities

• Own end-to-end solution architecture for complex enterprise applications.
• Design AI/ML evaluation, benchmarking, and MLOps platforms.
• Architect secure on-premises and private-cloud infrastructure.
• Collaborate with engineering, stakeholders, and clients to drive decisions and ensure scalability.

Skills

Solution architecture

AI/ML platform

MLOps

Kubernetes

OpenStack

GPU infra

RBAC

IAM

Security governance

Client-facing

Technical leadership

Job description

Job Title: Solution Architect AI/ML Platform | On-Premises / Private Cloud

Experience: 10+ Years
Location: Bengaluru

Job Description

We are looking for an experienced Solution Architect to design and lead enterprise-grade AI/ML platforms within secure on-premises and private-cloud environments. The ideal candidate will have strong solution architecture experience, knowledge of AI/ML evaluation platforms, infrastructure security, Kubernetes/OpenStack, and GPU-based computing environments.

Key Responsibilities

• Own end-to-end solution architecture for complex enterprise applications.
• Design AI/ML evaluation, benchmarking, and MLOps platforms.
• Architect secure, access-controlled on-premises and private-cloud infrastructure.
• Define architecture for Kubernetes/OpenStack environments and cloud-native platforms.
• Understand GPU clusters, resource scheduling, and GPU infrastructure troubleshooting.
• Implement security controls including RBAC, IAM, encryption, network security, and controlled connectivity.
• Establish auditability, traceability, reproducibility, evidence management, and governance.
• Collaborate with engineering teams, business stakeholders, and clients to drive architecture decisions.
• Provide technical leadership and ensure scalability, security, reliability, and compliance.

Mandatory Skills

• 10+ years of overall IT experience.
• 5+ years of experience as a Solution Architect for on-premises/private-cloud applications.
• Strong end-to-end enterprise solution architecture experience.
• AI/ML platform architecture, MLOps, model evaluation, or benchmarking experience.
• Kubernetes or OpenStack.
• Secure infrastructure architecture and access controls.
• GPU infrastructure and cluster scheduling knowledge.
• RBAC, IAM, encryption, and security governance.
• Strong client-facing communication and technical leadership.

Preferred Skills

• Enterprise architecture and technology transformation.
• Cloud-native infrastructure and container orchestration.
• Audit trails, traceability, reproducibility, and compliance.
• AI platform governance and infrastructure security.

Work Location

Bengaluru – candidates must be willing to work full-time on-site.