Associate Distinguished Engineer (Technology Architect, Automotive, Data Architecture, Generative AI, Integration, Cloud)

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 a scale — across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 36 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

Responsibilities

Lead end-to-end architecture design and technical strategy for strategic digital transformation and innovation initiatives; Translate business goals, market opportunities, and industry challenges into scalable, secure, and technically viable solution architectures; Define architecture frameworks, technology stacks, integration models, deployment strategies, and architectural standards; Drive architecture governance, design reviews, and technical decision-making across multiple initiatives; Lead the development and evolution of reusable accelerators, solution frameworks, reference architectures, and technology assets; Establish architectural best practices that promote scalability, maintainability, reusability, and operational excellence; Evaluate and recommend emerging technologies, with a focus on Generative AI, intelligent automation, cloud platforms, and advanced data architectures; Design enterprise AI solutions leveraging LLMs, RAG frameworks, AI agents, and agentic workflows to address business challenges; Collaborate with business stakeholders, domain consultants, and presales teams to shape innovative solution offerings; Participate in customer-facing workshops, technical discovery sessions, architecture discussions, and solution presentations; Communicate architectural vision, technology recommendations, design rationale, and technical trade-offs to senior stakeholders and technology leadership teams; Provide technical leadership and mentorship to architects, engineers, and cross-functional teams; Partner with data, AI, cloud, engineering, and delivery teams to ensure successful implementation of architectural solutions; Drive the creation and maintenance of architecture documentation, technical standards, and knowledge-sharing practices; Assess solution feasibility, risks, security considerations, performance requirements, and long-term sustainability; Contribute to thought leadership, technology strategy, innovation initiatives, and industry-focused solution development within the organization; Support the development of differentiated solution offerings that strengthen organizational capabilities and market positioning; Continuously identify opportunities to improve business outcomes through technology innovation, data-driven solutions, and digital transformation initiatives

Requirements

15+ years of experience in technology consulting, solution architecture, enterprise architecture, or digital engineering roles; Strong expertise in Digital Transformation initiatives across large-scale enterprise environments; Expert-level capability in aligning technology strategies with business objectives and driving business-oriented technology architecture decisions; Extensive experience in designing and governing complex enterprise architectures, distributed systems, microservices, APIs, and integration ecosystems; Deep understanding of Data Architecture, including data platforms, data governance, data integration, analytics, scalability, security, and enterprise data management; Strong hands-on knowledge of Generative AI technologies, including LLMs, Retrieval-Augmented Generation (RAG), AI agents, agentic workflows, AI integration patterns, and enterprise AI architectures; Experience with cloud-native architecture design and implementation on AWS, Azure, and/or GCP platforms; Proven expertise in defining technology roadmaps, architectural principles, standards, and governance frameworks; Strong engineering background with the ability to evaluate technical feasibility and guide implementation teams; Experience in architecture decision-making, technology evaluation, and managing technical trade-offs across enterprise initiatives; Knowledge of enterprise security, scalability, reliability, performance, and non-functional requirements; Strong stakeholder management, consulting, and executive communication skills; Experience collaborating with presales, consulting, engineering, cloud, AI, and delivery teams; Ability to create solution blueprints, reference architectures, reusable frameworks, and technology accelerators; Strong understanding of emerging technologies, intelligent automation, cloud, AI, and data-driven innovation; Bachelor's or master's degree in computer science, Information Technology, or a related field

Nice to have

Automotive domain knowledge, including connected vehicles, customer experience, digital retail, dealer ecosystems, aftersales, mobility solutions, or related industry areas