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.