Principal Engineer, AI Architect

Jobgether; India; On-site; INR 3,500,000 - 5,200,000; Full time

Benefits offered by this job

Senior ownership

Cross-functional teams

Exposure to AI tech

Job summary

Jobgether seeks a Principal Engineer, AI Architect based in India to design and scale production-grade Generative AI solutions across backend, frontend, and cloud infrastructure. You will shape architecture, establish engineering standards, and guide teams in delivering AI-powered experiences.

The role combines hands-on engineering with strategic influence across product, design, data, and client engagements, leveraging Python, React, LLMs, and AI platforms.

Qualifications

• 11+ years of total experience with 10+ years in software engineering.
• Strong depth and hands-on Python and modern software engineering practices.
• Proven experience architecting and delivering production-grade Generative AI applications at scale.
• Deep understanding of LLM integration, Retrieval-Augmented Generation (RAG), and AI-driven UX.

Responsibilities

• Own the overall architecture and technical vision for AI-powered, user-facing applications.
• Translate client objectives and constraints into scalable, durable designs.
• Lead GenAI platformization by creating reusable components, SDKs, and patterns.

Skills

GenAI architecture

Python

React

LLM integration

RAG pipelines

Distributed systems

Cloud platforms

Architectural leadership

Stakeholder management

Communication

Education

Bachelor’s or Master’s degree in Computer Science/Information Technology

Tools

GitHub Copilot

Claude Code

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Engineer, AI Architect based in India.

This is a senior technical leadership role focused on designing and scaling production-grade Generative AI solutions for complex enterprise environments.

You’ll shape the architecture and technical vision of AI-powered applications spanning backend, frontend, cloud infrastructure, and intelligent user experiences.

The role combines deep hands-on engineering with strategic influence across teams, products, and client engagements.

You’ll work extensively with Python, React, LLMs, RAG architectures, AI agents, distributed systems, and cloud platforms.

A key focus will be turning ambiguous business challenges into secure, scalable, cost-efficient, and durable technical architectures.

You’ll also help establish engineering standards, reusable AI platforms, responsible AI practices, and high-quality development patterns.

This opportunity is ideal for an experienced architect who enjoys solving complex problems, influencing technical direction, and raising the engineering bar across an organization.

Accountabilities

• Own the overall architecture and technical vision for AI-powered, user-facing applications built with Python, React, and Generative AI.
• Translate client business objectives, functional requirements, and technical constraints into elegant, scalable, and durable technical designs.
• Design scalable, secure, and cost-efficient backend platforms supporting LLM inference, RAG pipelines, and agent-based orchestration.
• Define frontend architecture and AI-native UX patterns for conversational interfaces, copilots, intelligent dashboards, and other AI-powered experiences.
• Lead the architecture and implementation of complex GenAI workflows combining LLMs, tools, APIs, structured data, and user context.
• Establish engineering standards and best practices covering prompt engineering, model integration, evaluation, observability, and AI-assisted development.
• Drive GenAI platformization by creating reusable components, SDKs, frameworks, and architectural patterns that can be leveraged across multiple teams and products.
• Partner with Product, Design, Data, Engineering, and business leaders to translate strategic objectives into scalable technical solutions.
• Review critical architectures, technical designs, and codebases, providing guidance on extensibility, scalability, security, design patterns, UX, and non-functional requirements.
• Define technical strategies and influence architecture decisions across teams, pods, and major initiatives.
• Lead technical discovery, solutioning, proof-of-concept activities, and client or executive-facing technical workshops when required.
• Ensure enterprise AI solutions meet security, privacy, compliance, governance, and responsible AI requirements.
• Define guidelines, benchmarks, and standards for non-functional requirements throughout project implementation.
• Produce and review architecture and high-level design documentation, clearly communicating technical decisions and implementation guidance to development teams.
• Evaluate alternative technical solutions and select approaches that best balance business requirements, scalability, performance, security, and cost.
• Resolve complex technical issues through systematic root-cause analysis and clearly communicate and justify architectural decisions.
• Use AI-assisted development tools such as GitHub Copilot or Claude Code to accelerate delivery while maintaining production-grade engineering standards.

Requirements

• 11+ years of total professional experience, including 10+ years in software engineering.
• Strong depth and hands‑on expertise in Python and modern software engineering practices.
• Proven experience architecting and delivering production‑grade Generative AI applications at scale.
• Deep understanding of LLM integration patterns, Retrieval‑Augmented Generation (RAG), agentic architectures, and AI‑driven user experiences.
• Strong system design capabilities across backend services, frontend applications, AI infrastructure, and distributed systems.
• Experience with Python and React in production application environments.
• Hands‑on experience with major cloud platforms such as AWS, Azure, or GCP.
• Strong understanding of distributed systems, scalability, reliability, and cloud‑native architecture.
• Experience defining technical strategy and influencing architecture across multiple engineering teams or pods.
• Strong understanding of enterprise AI security, privacy, compliance, governance, and responsible AI practices.
• Ability to translate ambiguous business problems into practical, scalable, and maintainable technical architectures.
• Strong understanding of non‑functional requirements, including performance, scalability, security, extensibility, reliability, and cost optimization.
• Experience creating and reviewing architecture documents, high‑level designs, technical guidelines, and engineering standards.
• Ability to conduct POCs and evaluate new technologies to validate architectural approaches.
• Strong analytical and problem‑solving skills, including systematic root‑cause analysis of complex technical issues.
• Excellent communication and stakeholder‑management skills, with the ability to influence senior technical leaders, developers, clients, and business stakeholders.
• Bachelor’s or master’s degree in Computer Science, Information Technology, or a related field.

Benefits

• Opportunity to work on complex, enterprise‑scale Generative AI and digital engineering initiatives.
• Exposure to modern technologies across Python, React, LLMs, RAG, AI agents, cloud platforms, and distributed systems.
• Senior‑level technical ownership and the opportunity to influence architecture and engineering strategy.
• Collaboration with multidisciplinary teams across product, design, data, engineering, and business functions.
• Opportunities to work directly with senior stakeholders and participate in high‑impact technical discovery and solutioning.
• Dynamic, collaborative, and non‑hierarchical work environment.
• Opportunity to contribute to reusable AI platforms, frameworks, and engineering standards used across multiple initiatives.
• Continuous exposure to emerging AI technologies, tools, and engineering prac