Associate Distinguished Engineer, Technology Architect

New
J
JobgetherAutomotive technology
Based in IndiaFull-TimeSenior
Salary not disclosed
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Job Details

Experience
15+ years of experience in technology consulting, solution architecture, enterprise architecture, or digital engineering roles.
Required Skills
AWSAzureMicroservicesGenerative AI

Requirements

  • Bring 15+ years of experience in technology consulting, solution architecture, enterprise architecture, or digital engineering roles.
  • Have strong expertise in digital transformation initiatives in large-scale enterprise environments.
  • Design and govern complex enterprise architectures, distributed systems, microservices, APIs, and integration ecosystems.
  • Demonstrate deep understanding of data architecture, data platforms, governance, integration, analytics, security, and enterprise data management.
  • Have hands-on knowledge of Generative AI technologies, including LLMs, RAG, AI agents, agentic workflows, and enterprise AI architectures.
  • Design and implement cloud-native architectures on AWS, Azure, and/or GCP.
  • Define technology roadmaps, architectural principles, standards, and governance frameworks.
  • Assess technical feasibility and guide implementation teams; evaluate technical trade-offs and enterprise security, scalability, reliability, and performance requirements.
  • Create solution blueprints, reference architectures, reusable frameworks, and technology accelerators.
  • Have a bachelor's or master's degree in Computer Science, Information Technology, or a related field.
  • Automotive domain knowledge, including connected vehicles, customer experience, digital retail, dealer ecosystems, aftersales, or mobility solutions, is highly desirable.

Responsibilities

  • Lead end-to-end architecture design and technical strategy for strategic digital transformation and innovation initiatives.
  • Translate business objectives 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 initiatives.
  • Develop reusable accelerators, solution frameworks, reference architectures, and technology assets.
  • Evaluate emerging technologies, including Generative AI, intelligent automation, cloud platforms, and advanced data architectures.
  • Design enterprise AI solutions using LLMs, RAG, AI agents, and agentic workflows.
  • Collaborate with stakeholders and technical teams to shape solutions, support implementation, and communicate architectural recommendations.
  • Provide technical leadership and mentorship to architects, engineers, and cross-functional teams.
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