We are seeking a visionary and highly technical Software Solution Architect to own, maintain, and scale the next-generation architecture of our intelligent in-vehicle assistant. This solution provides a unified conversational interface enabling natural, voice-first interaction across vehicle functions, navigation, media, and personalized connected services.

In this role, you will bridge the gap between embedded automotive edge computing and cloud-native multi-agent AI ecosystems. You will have ownership over system-level components, interface design, and architectural governance, ensuring a scalable, modular, and highly maintainable platform

What project we have for you

We are developing an intelligent in-vehicle assistant that enables natural, voice-first interaction across vehicle functions, navigation, communication, media, information, and personalization services.

The product provides a unified conversational interface that allows drivers and passengers to access information, complete tasks, control supported vehicle functions, and interact with connected services through natural language without relying on manual screen interaction.

What you will do

Architectural Design & Technical Leadership
Bridging the Gap between Business & Technology
Ensuring Non-Functional Requirements (NFRs)
Risk Mitigation & Problem Solving
Team Governance & Delivery Support

What you need for this

Proven experience as a Solution, System Architect, or similar role, with a strong understanding of data architecture principles, practices, and technologies.
Proven experience in end-to-end solution design
Strong background in embedded Android development, specifically managing system applications, services, custom .apk distribution strategies, and SDK development lifecycle.
Proven experience reviewing, engineering, and guiding complex backend systems written in Go (Golang) within microservices topologies.
Experience configuring containers within Kubernetes, managing Application Gateways, designing telemetry dashboards, and enforcing secure cryptography infrastructure utilizing Azure Key Vault.
Practical expertise in designing AI platforms that treat Large Language Models as pluggable infrastructure components, avoiding provider lock-in to enable seamless model migrations.
Comprehensive mastery of bidirectional data streaming architectures, specifically utilizing gRPC streaming and WebRTC data/audio channels to manage real-time interactions under varying bandwidth conditions.

Nice to have:

Understanding of audio data processing
Understanding of concepts of STT, TTS; any practical experience with the usage of these systems via the provided APIs

What it’s like to work at Intellias

At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.
We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.
We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.