Principal Architect

Veltris; Bengaluru; Hybrid; INR 1,800,000 - 2,400,000; Full time

Job summary

Veltris is seeking a Solution/Technical Architect for AI/ML and Cloud to design scalable enterprise-grade solutions. The role focuses on AI architecture, Generative AI, and Agentic systems across on-prem and cloud platforms, with CRM and enterprise integrations.

Required 8+ years in architectural roles, strong Python/ FastAPI skills, and experience with AWS/Azure/GCP. Excellent stakeholder management and deployment expertise are essential for success.

Qualifications

• 8+ years of experience as a Solution Architect or Technical Architect.
• Deep expertise in AI development using Python (FastAPI, LLM Tooling).
• Hands-on experience with Enterprise RAG Architecture and building Agentic systems.
• Architecting scalable cloud solutions (AWS, Azure or GCP).
• Expertise in AI Adoption Frameworks & Guardrail Design.
• Experience with Salesforce Service Cloud or ticketing systems.

Responsibilities

• Design and architect scalable AI and data-driven solutions on on-prem cloud platforms.
• Build pipeline architecture for data processing, deployment, and AI 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 key use cases, including Case routing, knowledge retrieval, Agentic AI use cases, CRM-driven use cases.

Skills

AI Architecture

Generative AI

Cloud Architecture

Python

FastAPI

LLM Tooling

Agentic Systems

RAG Architecture

CRM Integration

Stakeholder Management

Communication

Data Pipelines

Salesforce

ServiceNow

Deployment

Tools

Salesforce Service Cloud

ServiceNow

AWS

Azure

GCP

Job description

Solution / Technical Architect – AI/ML & Cloud

Location: Bangalore with 2 Days work from office.

Role Overview

We are looking to team up with a technical Architect with strong hands-on expertise in Distributed systems, AI Architecture, Generative AI, 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, Agentic systems, and enterprise CRM integrations.

Key Responsibilities

• Design and architect scalable AI and data-driven solutions on on-prem cloud platforms.
• Build pipeline architecture for data processing, deployment, and AI 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 key 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

• Experience: 8+ years of experience as a Solution Architect or Technical Architect.
• 1. AI Architecture & Development: Deep expertise in AI development using Python (FastAPI, LLM Tooling).
• 2. Generative AI & Agentic Systems: Hands-on experience with Enterprise RAG Architecture and building Agentic systems.
• 3. Cloud Platforms: Architecting scalable cloud solutions (Experience with a single cloud provider is sufficient: AWS, Azure, or GCP).
• 5. Governance: Expertise in AI Adoption Frameworks & Guardrail Design.
• Traditional Machine Learning & ML Pipelines (Optional)
• 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)

• Cloud Certifications (AWS / Azure / GCP).

Key Attributes

• Strong problem-solving and solutioning mindset.
• Excellent communication and stakeholder management skills.
• Ability to manage end-to-end delivery across multiple projects.