Solution Architect

Intellias is developing an AI-powered in-vehicle assistant platform that enables natural voice interactions for drivers and passengers. The project integrates embedded Android systems with cloud-native AI ecosystems to create a scalable and secure conversational interface for connected vehicles.

Must have:

• Proven experience as a Solution Architect, System Architect, or 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, and 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 integrating Large Language Models (LLMs) while remaining vendor-agnostic.
• Expertise in real-time communication technologies including gRPC streaming and 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.

• 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.

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