Principal Engineer, AI Architect
Nagarro
IndiaremotePosted 23 days ago
Skill Required
AI-ArchitecturePrincipal-EngineerGenerative-AI-EngineeringAI-Platform-EngineeringSoftware-ArchitecturePrincipal-AI-ArchitectPrincipal-AI-EngineerAI-Principal-EngineerPrincipal-AI-ML-EngineerSenior-AI-ArchitectPrincipal-AI-Systems-EngineerPrincipal-AI-Solutions-ArchitectPrincipal-Machine-Learning-ArchitectPrincipal-ML-EngineerAI EngineerAIsoftware engineeringSystem DesignDesign PatternsGenerative AIrelated fieldObservabilityEngineeringdesigningsecuritybuildingPythondesignReactAzureCloudAPIsRAGAWSGCPandFulltime
Key highlights
- Total experience required: 11+ years.
- 10+ years of software engineering experience with deep Python expertise.
- Proven experience delivering production‑grade Generative AI applications at scale.
- Deep understanding of LLM integration patterns, RAG systems, and AI‑driven UX design.
- Strong system design across backend, frontend, and AI infrastructure layers.
- Must influence technical strategy across teams or pods.
Role overview
Responsibilities
- Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
- 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 be able to translate the same to developers.
- Identifying different solutions and being able to narrow down the best option that meets the client’s requirements.
- Defining guidelines and benchmarks for NFR considerations during project implementation.
- Writing and reviewing design document explaining 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 ensure 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 being able to justify the decision taken.
- Carrying out POCs to make sure that suggested design/technologies meet the requirements.
Requirements
- Total experience 11+ years.
- Should have 10+ years of experience in software engineering, with strong depth in Python.
- Should have proven experience architecting and delivering production-grade Generative AI applications at scale.
- Should have deep understanding of LLM integration patterns, RAG systems, and AI-driven UX design.
- Should have strong system design skills across backend, frontend, and AI infrastructure layers.
- Must have experience defining technical strategy and influencing architecture across teams or pods.
- Should have hands-on experience with cloud platforms (AWS, Azure, or GCP) and distributed systems.
- Should have strong grasp of security, privacy, and governance considerations for enterprise AI.
- Must have ability to translate ambiguous business problems into durable technical architectures.
- Should have excellent communication skills, with the ability to influence senior stakeholders and technical leadership.
- Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
Additional details
- 👋🏼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!
- Originally posted on Himalayas.