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.