Solution Architect

Join Intellias and help shape the future of intelligent mobility.

We are looking for an experienced Solution Architect to lead the architecture of a next-generation AI-powered in-vehicle assistant. This is a highly technical role where you will define the end-to-end architecture of a platform that enables natural, voice-first interaction between drivers, passengers, vehicles, and connected services.

You will work at the intersection of embedded Android, cloud-native architectures, and Generative AI, designing scalable, secure, and maintainable solutions that power the future of connected vehicles.

Project Overview

Our client is developing an intelligent in-vehicle assistant that provides a unified conversational interface for drivers and passengers. The platform enables natural voice interactions across vehicle controls, navigation, communication, media, and personalized connected services.

As a Solution Architect, you will play a key role in designing and evolving the overall system architecture, bridging embedded automotive software with cloud-native AI ecosystems and ensuring seamless communication between edge and cloud environments.

Responsibilities

• Own the end-to-end architecture of the intelligent in-vehicle assistant platform.

• Design scalable, secure, and maintainable software solutions across embedded and cloud environments.

• Define architectural standards, technical direction, and system governance.

• Lead architecture discussions and collaborate closely with engineering teams and stakeholders.

• Design interfaces and communication between embedded systems, backend services, and AI components.

• Guide the development of cloud-native microservices and distributed architectures.

• Ensure system scalability, reliability, security, and other non-functional requirements.

• Identify architectural risks and define mitigation strategies.

• Support delivery teams with technical guidance throughout the software development lifecycle.

• Bridge business requirements with technical implementation while driving engineering best practices.

Requirements

Must have

• Proven experience as a Solution Architect, System Architect, or in a similar technical architecture role.

• Strong experience designing end-to-end software solutions for complex distributed systems.

• Solid background in Embedded Android, including:

  • system applications,

  • Android services,

  • SDK development,

  • custom APK distribution.

• Experience designing and reviewing backend systems built with Go (Golang) and microservices architecture.

• Hands-on experience with:

  • Kubernetes,

  • Application Gateways,

  • Azure Key Vault,

  • telemetry and monitoring solutions.

• Strong understanding of cloud-native architectures and distributed systems.

• Experience designing AI platforms that integrate Large Language Models (LLMs) while remaining vendor-agnostic.

• Expertise in real-time communication technologies, including:

  • gRPC streaming,

  • WebRTC data and audio channels.

• Excellent communication skills and ability to collaborate across multiple engineering teams.

Nice to have

• Experience with automotive software development.

• Understanding of audio processing.

• Knowledge of Speech-to-Text (STT) and Text-to-Speech (TTS) technologies and related APIs.

• Experience designing conversational AI or voice-enabled systems.

Why Join Us?

• Design the architecture of an innovative AI-powered automotive platform.

• Work with cutting-edge technologies across Embedded Android, Generative AI, LLMs, Go, Kubernetes, and Azure.

• Influence technical direction and architectural decisions from the ground up.

• Collaborate with international engineering teams in a modern, innovation-driven environment.

• Be part of a long-term project shaping the future of connected and intelligent vehicles.