Principal Engineer, AI Architect

About the Position

We are seeking a Principal Engineer, AI Architect with over 11 years of experience to join our team in South Asia. You will be responsible for building scalable AI solutions that meet our clients' business needs.

Responsibilities

• Understand the client’s business use cases and technical requirements and convert them into technical designs.
• Own the architecture and technical vision for AI-powered, user-facing applications built with Python, React, and Generative AI.
• Design scalable, secure, and cost-efficient backend platforms for LLM inference, RAG pipelines, and agent-based orchestration.
• Define frontend architecture and UX patterns for AI-native applications, including conversational interfaces, copilots, and intelligent dashboards.
• Lead the design and implementation of complex GenAI workflows that combine LLMs, tools, APIs, structured data, and user context.
• Establish engineering standards and best practices for prompt design, model integration, evaluation, and observability.
• Drive GenAI platformisation-building reusable components, SDKs, and frameworks used across multiple teams or products.
• Partner with product, design, data, and business leaders to translate strategic objectives into scalable technical solutions.
• Review critical designs and codebases, unblock teams on complex technical challenges, and raise the overall engineering bar.
• Lead technical discovery and solutioning for high-impact initiatives, including client or executive-facing workshops when required.
• Ensure enterprise readiness: security, privacy, compliance, governance, and responsible AI practices.
• Use AI-assisted development tools (e.g., Copilot, Claude Code) to accelerate delivery while maintaining production-grade quality.
• Mapping decisions with requirements and translating the same to developers.
• Identifying different solutions and narrowing down the best option that meets the client’s requirements.
• Defining guidelines and benchmarks for NFR considerations during project implementation.
• Writing and reviewing design documents explaining the overall architecture, framework, and high-level design of the application for the developers.
• Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensuring that all relevant best practices are followed.
• Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it.
• Understanding and relating technology integration scenarios and applying these learnings in projects.
• Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and justifying the decision taken.
• Carrying out POCs to ensure that suggested design/technologies meet the requirements.

Requirements

• Total experience of 11+ years.
• Strong depth in Python.
• Experience developing microservices and APIs (Python, FastAPI, Node.js) to embed AI and deep learning models into enterprise applications.
• Proven experience architecting and delivering production-grade Generative AI applications at scale.
• Strong system design skills across backend, frontend, and AI infrastructure layers.
• Ability to architect and implement scalable ML, Generative AI, and Agentic AI solutions (LLMs, RAG, autonomous agents) aligned with business objectives.
• Good experience in Enterprise Architecture & Solution Design.
• Ability to build robust end-to-end AI pipelines and integrate Vector databases (e.g., Pinecone, Weaviate, Milvus) for data processing and feature extraction.
• Experience deploying secure, production-grade hybrid and cloud AI solutions (AWS/GCP/Azure) using modern CI/CD, AI-assisted code optimization, and strict access control.
• Ability to leverage emerging AI research to continuously tune models, optimize codebases, and manage scalable compute resources.
• Experience defining technical strategy and influencing architecture across teams or pods.
• Ability to mentor junior engineers, drive agile workflows (Jira), and partner with Product managers to define technical strategy.
• Maintain clear technical documentation and translate complex AI concepts for non-technical audiences.
• Strong grasp of AI Governance & Responsible AI, Multi-cloud AI platform architecture, AgentOps / GenAIOps, Knowledge Graphs & Semantic Layer Architecture.
• Hands-on experience with cloud platforms (AWS, Azure, or GCP) and distributed systems.
• Ability to translate ambiguous business problems into durable technical architectures.
• Excellent communication skills, with the ability to influence senior stakeholders and technical leadership.

Qualifications

• Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

About the Company

👋🏼 We're Nagarro.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 40 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!