Principal Full Stack Architect (AI) - Global Enterprise Software Company (Fully Remote)

We are hiring a Principal Full Stack Architect (AI) for a global enterprise software company to lead the modernization of large-scale enterprise platforms and drive the adoption of AI-native engineering practices. This role combines deep full-stack architecture expertise with AI-driven software development, focusing on transforming complex systems into scalable, modular, intelligent, and agent-operable platforms. You will define architectural standards, design modern application and integration frameworks, build AI-enabled development workflows, and establish engineering governance that enables autonomous agents and engineering teams to deliver high-quality software faster and more reliably.

Key Responsibilities

• Define and drive the overall architecture strategy for enterprise-grade applications, platforms, and services.
• Lead the modernization of existing systems into scalable, cloud-native, modular, and API-first architectures.
• Design and implement full-stack solutions across frontend, backend, data, integration, AI, and infrastructure layers.
• Establish architectural standards, engineering best practices, and governance frameworks to ensure scalability, security, maintainability, reliability, and performance.
• Architect and implement AI-native development workflows, including agentic engineering frameworks, LLM-powered automation, and Model Context Protocol (MCP) integrations.
• Build reusable services, APIs, tools, and developer platforms that enable autonomous agents and engineering teams to accelerate software delivery.
• Drive adoption of modern architectural patterns including microservices, event-driven systems, domain-driven design, hexagonal architecture, and contract-first APIs.
• Lead architecture reviews, technical design reviews, and critical engineering decisions across multiple products and teams.
• Establish quality engineering practices including test-driven development (TDD), automated testing, CI/CD, observability, security, and production monitoring.
• Evaluate and adopt emerging technologies, AI frameworks, and engineering tools that improve development velocity, product quality, and operational efficiency.
• Mentor senior engineers and architects while fostering a culture of technical excellence, innovation, ownership, and continuous improvement.
• Partner closely with product, engineering, and business leadership to align technology strategy with long-term business objectives.

Qualifications

• 15+ years of experience in software engineering, solution architecture, platform engineering, or technical leadership roles.
• Proven track record of architecting and delivering large-scale enterprise software systems and mission-critical platforms.
• Deep hands-on expertise in TypeScript, Node.js, .NET, modern frontend technologies, APIs, distributed systems, and cloud-native architectures.
• Strong experience with microservices, event-driven architectures, API design, integration frameworks, and highly scalable backend systems.
• Demonstrated success in modernizing complex legacy applications and leading enterprise-scale technology transformation initiatives.
• Practical experience with AI-assisted software development, agentic systems, LLM platforms, MCP frameworks, AI tooling, or autonomous engineering workflows.
• Strong understanding of software design principles including SOLID, Domain-Driven Design (DDD), dependency injection, clean architecture, and secure coding practices.
• Experience implementing CI/CD pipelines, automated testing frameworks, DevOps practices, observability, and cloud infrastructure.
• Ability to balance strategic architectural vision with hands-on technical leadership and execution.
• Excellent communication, stakeholder management, mentoring, and leadership skills.

Preferred Qualifications

• Experience building AI-native products, developer platforms, or intelligent automation solutions.
• Background in enterprise SaaS, platform engineering, or large-scale digital transformation programs.
• Experience working with globally distributed engineering teams.
• Familiarity with modern AI ecosystems, vector databases, retrieval architectures, knowledge systems, and autonomous agent frameworks.
• Contributions to open-source projects, technical communities, or industry thought leadership initiatives.

Important Notice

We are looking for immediate joiners or candidates who can join within a maximum of 2 weeks. Please apply only if you meet this availability requirement. Applications from candidates with longer notice periods will not be considered for this opportunity.