Nagarro
Associate Distinguished Engineer (Technology Architect, Automotive, Data Architecture, Generative AI, Integration, Cloud)
- Compensation
- Not disclosed
- Location
- Remote, in
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 15+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- 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.
Full description
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.