Sigma Infosolution - Principal Architect - AI & Full Stack Development

Sigma Infosolutions Ltd.; Jodhpur; On-site; INR 2,800,000 - 4,500,000; Full time

Job summary

Sigma Infosolutions Ltd. is seeking a senior Solution Architect with 8–12 years of experience to drive scalable, cloud-native, AI-enabled, multi-tenant platforms.

The role balances 50% solution architecture and 50% AI innovation, including leading GenAI POCs and establishing reusable AI capabilities. You will guide architecture across client engagements, ensure robust security and scalability, and mentor engineers while collaborating with global teams to deliver modern, production-ready

Qualifications

• Experience designing scalable SaaS architectures
• Proven ability to lead client-facing technical engagements
• Hands-on in full-stack development and cloud-native systems

Responsibilities

• Architect scalable full-stack applications using modern tech stack
• Define multi-tenant SaaS architectures with strong isolation
• Govern code quality, security, and deployment lifecycle practices
• Lead AI/GenAI POCs and reusable AI capabilities

Skills

Solution architecture

AI/GenAI

Cloud-native

Client-facing

Mentoring

Full-stack

Tools

React

Node.js

Python

Go

Job description

Experience

8 - 12 years.

Location

Bangalore / Ahmedabad / Jodhpur.

Role Overview

• 50% Solution Architecture & Client-Facing Technical Engagement - Architect scalable full-stack, cloud-native, AI-enabled, and multi-tenant solutions across client engagements, with strong focus on security, scalability, configurability, robustness and long-term platform sustainability.
• 50% AI Innovation & Strategic Growth - Lead AI/GenAI POCs, define reusable AI capabilities, and establish modern AI-assisted and Vibe Coding-based engineering practices that enable rapid, continuous, and cost-effective delivery.

Solution Architecture & Technical Engagement (50%)

• Architect scalable full-stack applications using React, Node.js, Python, Go, and modern cloud-native technologies.
• Design and evolve multi-tenant / multi-brand SaaS architectures with strong tenant isolation and configuration-driven capabilities, minimizing tenant-specific custom development.
• Establish reusable, configuration-driven architecture for UI, workflows, business rules, validations, integrations, permissions, feature flags, and tenant-specific requirements.
• Define API-first, event-driven, microservices/modular architectures and integration patterns based on business and scalability requirements.
• Govern architecture quality and technical decisions, ensuring systems remain robust, scalable, secure, maintainable, and production-ready while supporting continuous onboarding of new tenant requirements.
• Define Vibe Coding best practices covering requirement decomposition, architecture-first development, AI-assisted coding, context management, code review, testing, security validation, documentation, and human-in-the-loop governance.
• Establish and govern code quality, engineering standards, architecture review, testing, security, and best-practice adherence across the complete development and deployment lifecycle.
• Maintain strong hands-on awareness of the complete development and deployment lifecycle and guide teams on design patterns, coding standards, technical debt reduction, DevOps, and cloud-native engineering practices.
• Define modern deployment architectures using CI/CD, Infrastructure as Code, containers, Kubernetes, GitOps, automated testing, and progressive delivery.
• Support solution planning, architecture reviews, pre-sales, and client-facing technical discussions.
• Act as a technical point of contact for quick customer/team handoffs, clarifications, and architectural alignment when required.
• Collaborate effectively with engineering and technology teams across different geographies and locations.
• Mentor senior and mid-level engineers and conduct technical design and architecture reviews.

AI Innovation, POCs & Practice Building (50%)

• Architect and build AI/GenAI solutions including LLMs, model routing, embeddings, vector databases, hybrid search, RAG, tool/function calling, MCP, agent orchestration, guardrails, and AI observability.
• Lead AI POCs from business use-case discovery and architecture through prototype, evaluation, integration, and production-readiness assessment.
• Bring practical experience in implementing, deploying, and operationalizing AI/GenAI solutions in production environments.
• Build reusable AI services and accelerators that can be consumed across multiple products, clients, and tenants rather than developing isolated project-specific solutions.
• Define configuration-driven AI capabilities including tenant-specific models, prompts, tools, knowledge sources, policies, workflows, and AI features.
• Define and govern the architecture of the semantic layer, ontology, knowledge representation, and related knowledge/semantic architecture required to support AI-enabled applications and intelligent workflows.
• Drive Vibe Coding-based application development and establish reusable Agentic AI-assisted development workflows, templates, prompts, skills, coding agents, and engineering accelerators.
• Identify opportunities to use AI agents across the SDLC, including requirement analysis, architecture, coding, code review, testing, debugging, documentation, migration, and DevOps automation.
• Identify opportunities to apply AI to improve engineering productivity, automate business processes, reduce operational overhead, and create new client-facing capabilities.
• Collaborate with leadership to define the AI technology roadmap, reusable accelerators, reference architectures, and AI Center of Excellence capabilities.
• Track emerging AI technologies and evaluate their applicability across client engagements and industry-specific use cases.

Additional Responsibilities

• Identify business opportunities for modernization, platform reuse, AI-led engineering transformation, account expansion, and new AI-enabled business solutions.
• Conduct internal workshops, guide upskilling plans, and help build a pipeline of AI-savvy engineers.
• Participate in marketing and sales enablement, including client demos, case studies, and proposal support.

(ref:hirist.tech)