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

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.