Enterprise AI Solutions Architect

Job Title: Enterprise AI Solutions Architect
Location: Noida
Experience: 8+ years
Work Schedule: 5-day work week

We’re hiring an Enterprise AI Solutions Architect for Morelo, an AI Revenue OS platform built specifically for Manufacturing Enterprises.

As the Enterprise AI Solutions Architect, your responsibilities would be:

• Architecting the technical foundation of Morelo’s platform across enterprise security, AI workflows, and multi-tenant cloud infrastructure.
  
• Designing scalable distributed microservices, multi-tenant SaaS architecture, and reusable enterprise platform services.
  
• Owning enterprise security architecture including IAM, OAuth, SAML, encryption, tenant isolation, and regulatory compliance standards like SOC 2, ISO 27001, and GDPR.
  
• Building AI platform capabilities such as RAG, vector databases, knowledge graphs, permission-aware retrieval, agent orchestration, and model gateways.
  
• Designing cloud infrastructure on AWS, Azure, or GCP using Kubernetes, Docker, and IaC (Terraform) to ensure high availability and scalability.
  
• Providing hands-on technical leadership, mentoring engineers, setting engineering standards, and optimizing system velocity.
  

Requirements

• 8+ years of experience in building enterprise software platforms, distributed systems, and multi-tenant SaaS architectures.
  
• Strong background in cloud-native design, API development, and cloud infrastructure platforms (AWS/Azure/GCP) using Kubernetes and Terraform.
  
• Deep experience in enterprise security architecture (IAM, OAuth 2.0, SAML, RBAC/ABAC) and compliance standards (SOC 2, ISO 27001, GDPR).
  
• Hands-on experience with AI architecture including Enterprise RAG, vector databases, knowledge graphs, and AI workflow orchestration.
  
• Track record of integrating enterprise systems like CRM, ERP, CPQ, or PLM.Exceptional system design skills, architectural problem-solving capabilities, and strong engineering mentorship experience.
  

Benefits

• Opportunity to shape and influence every core architectural decision for a fast-growing, AI-native platform.
  
• Work on cutting-edge AI technologies, including RAG systems, knowledge graphs, and agent orchestration.
  
• Solve complex enterprise challenges at the intersection of AI, manufacturing workflows, and multi-tenant SaaS.
  
• Early leadership position with high visibility, directly impacting product direction alongside the founding team.
  
• High-growth, innovative work environment with opportunities to lead, mentor, and build high-performing engineering practices.