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

This is a fully remote position, open to applicants in India.

📋 Description

• Oversee the complete architecture design and technical strategy for key digital transformation and innovation projects.

• Convert business objectives, market potentials, and industry challenges into scalable, secure, and technically feasible solution architectures.

• Establish architecture frameworks, technology stacks, integration models, deployment strategies, and architectural standards.

• Lead architecture governance, design evaluations, and technical decision-making across multiple projects.

• Spearhead the development and enhancement of reusable accelerators, solution frameworks, reference architectures, and technology resources.

• Set architectural best practices that promote scalability, maintainability, reusability, and operational excellence.

• Assess and recommend emerging technologies with a focus on Generative AI, intelligent automation, cloud platforms, and advanced data architectures.

• Design enterprise AI solutions utilizing LLMs, RAG frameworks, AI agents, and agentic workflows.

• Collaborate with business stakeholders, domain consultants, and presales teams to refine solution offerings.

• Engage in customer-facing workshops, technical discovery sessions, architecture discussions, and solution presentations.

• Articulate 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 guarantee successful implementation.

• Drive architecture documentation, technical standards, and knowledge-sharing practices.

• Evaluate solution feasibility, risks, security considerations, performance requirements, and long-term sustainability.

• Contribute to thought leadership, technology strategy, innovation initiatives, and industry-specific solution development.

• Assist in the development of distinctive solution offerings that enhance organizational capabilities and market positioning.

• Identify opportunities to enhance business outcomes through technological innovation, data-driven solutions, and digital transformation.

⛳️ Requirements

• Over 15 years of experience in technology consulting, solution architecture, enterprise architecture, or digital engineering roles.

• Strong proficiency in digital transformation initiatives across large-scale enterprise settings.

• Expert-level ability to align technology strategies with business goals and drive business-focused technology architecture decisions.

• Extensive experience in designing and governing complex enterprise architectures, distributed systems, microservices, APIs, and integration ecosystems.

• In-depth knowledge of data architecture, data platforms, data governance, data integration, analytics, scalability, security, and enterprise data management.

• Strong hands-on expertise with Generative AI technologies, including LLMs, Retrieval-Augmented Generation (RAG), AI agents, agentic workflows, AI integration patterns, and enterprise AI architectures.

• Experience in cloud-native architecture design and implementation on AWS, Azure, and/or GCP.

• Proven ability to define technology roadmaps, architectural principles, standards, and governance frameworks.

• Solid engineering background with the capacity to assess 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.

• Knowledge of the automotive domain is highly desirable.

• Bachelor's or master's degree in computer science, Information Technology, or a related field.

🏝️ Benefits

• Remote work arrangement.

• Dynamic and non-hierarchical work culture.

• Opportunity to work on digital products, services, and experiences across devices and digital mediums.

• Collaboration with global teams across 36 countries.