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

Experience level: not applicable.

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.

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

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.

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

👋🏼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!