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

Accountabilities: Lead end-to-end architecture design and technical strategy for strategic digital transformation and innovation initiatives. Translate business objectives, market opportunities, and industry challenges into scalable, secure, and technically viable solution architectures. Define architecture frameworks, technology stacks, integration models, deployment strategies, and technical standards. Drive architecture governance, design reviews, and technical decision-making across multiple initiatives. Develop and evolve reusable accelerators, solution frameworks, reference architectures, and technology assets. Establish architectural best practices that support scalability, maintainability, reusability, and operational excellence. Evaluate emerging technologies, particularly Generative AI, intelligent automation, cloud platforms, and advanced data architectures. Design enterprise AI solutions using LLMs, Retrieval-Augmented Generation (RAG), AI agents, and agentic workflows. Collaborate with business stakeholders, domain consultants, and presales teams to shape innovative solution offerings. Participate in customer workshops, technical discovery sessions, architecture discussions, and solution presentations. Communicate architectural vision, technology recommendations, design rationale, and technical trade-offs to senior stakeholders. Provide technical leadership and mentorship to architects, engineers, and cross-functional teams. Partner with data, AI, cloud, engineering, and delivery teams to support successful solution implementation. Maintain architecture documentation, technical standards, and knowledge-sharing practices. Assess solution feasibility, risks, security, performance, and long-term sustainability. Contribute to thought leadership, technology strategy, innovation initiatives, and industry-focused solution development. Identify opportunities to improve business outcomes through technology innovation, data-driven solutions, and digital transformation. Requirements: 15+ years of experience in technology consulting, solution architecture, enterprise architecture, or digital engineering roles. Strong expertise in digital transformation initiatives within large-scale enterprise environments. Ability to align technology strategies with business objectives and make business-oriented architecture decisions. Extensive experience designing and governing complex enterprise architectures, distributed systems, microservices, APIs, and integration ecosystems. Deep understanding of data architecture, including data platforms, governance, integration, analytics, scalability, security, and enterprise data management. Strong hands-on knowledge of Generative AI technologies, including LLMs, RAG, AI agents, agentic workflows, AI integration patterns, and enterprise AI architectures. Experience designing and implementing cloud-native architectures on AWS, Azure, and/or GCP. Proven ability to define technology roadmaps, architectural principles, standards, and governance frameworks. Strong engineering background, with the ability to assess technical feasibility and guide implementation teams. Experience evaluating technologies, making architecture decisions, and managing technical trade-offs across enterprise initiatives. Knowledge of enterprise security, scalability, reliability, performance, and non-functional requirements. Strong stakeholder management, consulting, communication, and executive presentation skills. Experience collaborating with presales, consulting, engineering, cloud, AI, and delivery teams. Ability to create solution blueprints, reference architectures, reusable frameworks, and technology accelerators. Understanding of emerging technologies, intelligent automation, cloud, AI, and data-driven innovation. Highly desirable: Automotive domain knowledge, including connected vehicles, customer experience, digital retail, dealer ecosystems, aftersales, mobility solutions, or related industry areas. Bachelor's or master's degree in Computer Science, Information Technology, or a related field. Benefits: Opportunity to lead strategic enterprise architecture and digital transformation initiatives. Exposure to advanced technologies spanning Generative AI, cloud-native platforms, data architecture, and intelligent automation. Opportunity to shape reusable technology frameworks, accelerators, and innovative solution offerings. Collaboration with global, multidisciplinary teams across business, consulting, engineering, AI, data, cloud, and delivery. Scope to provide technical mentorship and contribute to technology strategy and thought leadership. Opportunity to influence innovative solutions in the automotive and broader enterprise technology landscape.