
10,000+ employees
Founded 1996
💼 Consulting
📣 Marketing
🏥 Healthcare
Consulting • Marketing • Healthcare
Nagarro is a global leader in digital engineering and technology consulting. The company helps clients become innovative, digital-first businesses by leveraging technology to drive business breakthroughs. Known for its entrepreneurial agility and CARING mindset, Nagarro offers a wide range of services, including digital engineering, intelligent enterprise solutions, and experience and design services. With over 17,900 employees across 37 countries, Nagarro collaborates with industry leaders to accelerate digitalization and technology-led innovation.
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10,000+ employees
Founded 1996
💼 Consulting
📣 Marketing
🏥 Healthcare
Consulting • Marketing • Healthcare
Nagarro is a global leader in digital engineering and technology consulting. The company helps clients become innovative, digital-first businesses by leveraging technology to drive business breakthroughs. Known for its entrepreneurial agility and CARING mindset, Nagarro offers a wide range of services, including digital engineering, intelligent enterprise solutions, and experience and design services. With over 17,900 employees across 37 countries, Nagarro collaborates with industry leaders to accelerate digitalization and technology-led innovation.
• Understand clients’ 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 complex GenAI workflows combining LLMs, tools, APIs, structured data, and user context • Establish engineering standards for prompt design, model integration, evaluation, and observability • Drive GenAI platformisation through reusable components, SDKs, and frameworks • Partner with product, design, data, and business leaders on scalable technical solutions • Review critical designs and codebases, unblock teams, and raise engineering standards • Lead technical discovery and solutioning for high-impact initiatives and client or executive workshops • Ensure security, privacy, compliance, governance, and responsible AI practices • Use AI-assisted development tools to accelerate delivery while maintaining production-grade quality • Map decisions to requirements and translate them for developers • Identify, evaluate, and narrow solution options to meet client requirements • Define NFR guidelines and benchmarks • Write and review architecture and high-level design documents • Review architecture and design for extensibility, scalability, security, design patterns, user experience, and NFRs • Develop overall solutions and define technologies, patterns, and frameworks • Apply technology integration learnings in projects • Resolve code and review issues through systematic root-cause analysis • Carry out POCs to validate designs and technologies
• 11+ years of total experience • 10+ years of software engineering experience • Strong depth in Python • Proven experience architecting and delivering production-grade Generative AI applications at scale • Deep understanding of LLM integration patterns, RAG systems, and AI-driven UX design • Strong system design skills across backend, frontend, and AI infrastructure layers • Experience defining technical strategy and influencing architecture across teams or pods • Hands-on experience with AWS, Azure, or GCP and distributed systems • Strong understanding of security, privacy, and governance for enterprise AI • Ability to translate ambiguous business problems into durable technical architectures • Excellent communication skills and ability to influence senior stakeholders and technical leadership • Bachelor’s or master’s degree in computer science, Information Technology, or a related field
• Remote work • Dynamic, non-hierarchical work culture • Opportunity to work with a global team across 40 countries • Use of AI-assisted development tools such as Copilot and Claude Code
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