Sigma Infosolution - Principal Architect - AI & Full Stack Development

Sigma Infosolutions Ltd.; Jodhpur; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Sigma Infosolutions Ltd. in India seeks a senior technical pioneer who can split time between solution architecture and AI innovation, guiding teams across Bangalore, Ahmedabad and Jodhpur.

You will architect scalable full-stack, cloud-native, multi-tenant SaaS solutions with security and reliability at the core, while leading AI/GenAI POCs and building reusable accelerators.

This role demands 8–12 years of experience, strong client-facing skills, and mentoring across geographies.

Qualifications

• 8–12 years of hands-on software/architecture experience.
• Experience in designing multi-tenant SaaS and cloud-native architectures.
• Proven ability to lead AI/GenAI POCs and practical AI implementations.
• Strong focus on security, scalability, and maintainable code.

Responsibilities

• Architect scalable full-stack applications using React, Node.js, Python, and Go.
• Define API-first, event-driven microservices architectures with tenant isolation.
• Govern code quality, security validation, and deployment practices across lifecycle.
• Lead AI/GenAI initiatives, POCs, and reusable accelerators.
• Mentor engineers and collaborate with global teams.
• Support pre-sales and client-facing technical discussions.

Skills

Solution architecture

Cloud-native

AI/GenAI

Multi-tenant SaaS

Client-facing engagement

Mentorship

Tools

React

Node.js

Python

Go

Kubernetes

CI/CD

GitOps

Job description

Experience : 8 - 12 years.

Location : Bangalore / Ahmedabad / Jodhpur.

Role Overview

We are looking for a strong hands-on, forward-thinking Technical pioneer who can split their time between two critical mandates :

• 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)