Solution Architect – AI Voice Backend (w/m/d) - Azure, hands on experience in designing AI/LLM-based products, Terraform

Luxoft Germany; Ingolstadt; Vor Ort; EUR 90.000 - 150.000; Vollzeit

Zusammenfassung

Luxoft Germany seeks a Solution Architect to own the technical vision for AI-first cloud architectures in Audi’s AIME program. You will drive end-to-end design across LLM pipelines, voice I/O, and cloud + edge components from Ingolstadt, collaborating with Audi engineers and the DXC Luxoft team.

You will guide AI/ML engineers on RAG patterns, ADRs, and production readiness; maintain security, scalability, and ISO21434 compliance while leading architecture reviews with stakeholders.

Qualifikationen

• 5+ years as a Solution or Enterprise Architect for cloud-native, distributed systems.
• Proven track record designing AI/LLM-based products in production (RAG pipelines, agentic systems, or voice AI).
• Infrastructure-as-Code (Terraform or Bicep) and CI/CD pipeline design.
• Ability to lead technical discussions with customer architects and senior stakeholders.
• English C1; ability to work effectively in a joint-team model.

Aufgaben

• Define and maintain the end-to-end system architecture across LLM/RAG pipeline, voice I/O, Azure cloud, and in-vehicle edge components.
• Own ADRs and ensure alignment between Audi engineers and DXC Luxoft delivery team.
• Lead design for Azure services: AKS, Azure OpenAI, Managed Identity, Azure Monitor, Cosmos DB.
• Mentor AI/ML engineers on LLM integration patterns and production readiness.
• Conduct technical reviews of PRs, IaC changes, and sprint deliverables.
• Represent DXC Luxoft in Audi Architecture Board sessions; prepare architecture artefacts.

Kenntnisse

Cloud architecture

AI/LLM integration

Infrastructure as Code

Stakeholder leadership

English proficiency

Tools

Terraform

Bicep

Azure DevOps

AKS

Cosmos DB

Azure OpenAI

Jobbeschreibung

Our client is advancing its in-vehicle voice assistant into an intelligent, AI-powered companion. Since 2024, large-language-model capabilities (Azure OpenAI / ChatGPT) have been integrated into vehicles using the MIB3 infotainment system, with new E³-architecture models featuring enhanced voice functions from the factory.

The AIME (AI Model Engine) backend program supports this development over multiple years, encompassing natural-language dialogue, empathic communication, and a comprehensive cloud-edge data pipeline. DXC Luxoft serves as the end-to-end delivery partner, collaborating as a joint product team with the client's engineers on the Azure platform (AKS, Azure OpenAI, Managed Identity, Azure Monitor, Azure DevOps).

Responsibilities

We are looking for a Solution Architect to own the technical vision across all three AIME work packages. You will translate Audi's product roadmap into concrete cloud-native, AI-first architectures and act as the primary technical authority in the joint product team. The role spans both high-level design and hands-on review, with regular presence in Ingolstadt.

• Define and maintain the end-to-end system architecture across the LLM/RAG pipeline, voice I/O layer, Azure cloud backend, and in-vehicle edge components.
• Own architecture decision records (ADRs) and ensure alignment between Audi engineers and the DXC Luxoft delivery team.
• Lead solution design for Azure services: AKS, Azure OpenAI, Managed Identity, Azure Monitor, and Cosmos DB.
• Guide AI/ML engineers on LLM integration patterns (RAG, prompt engineering, ASR/TTS orchestration) and ensure production-readiness.
• Conduct technical reviews of pull requests, infrastructure-as-code changes, and sprint deliverables.
• Represent DXC Luxoft in Audi Architecture Board (AP-A) sessions; prepare architecture artefacts and briefing materials.
• Identify and mitigate cross-cutting risks: security, scalability, compliance (ASPICE, ISO 21434).
• Mentor senior engineers and provide cross-WP technical coordination.

Skills

Must have

• 5+ years as a Solution or Enterprise Architect for cloud-native, distributed systems.
• Proven track record designing AI/LLM-based products in production (RAG pipelines, agentic systems, or voice AI).
• Infrastructure-as-Code (Terraform or Bicep) and CI/CD pipeline design.
• Ability to lead technical discussions with customer architects and senior stakeholders.
• English C1; ability to work effectively in a joint-team model.

Nice to have Skills

• Knowledge of ASPICE L2 process requirements and ISO 21434 cybersecurity obligations.
• Experience with edge-cloud hybrid architectures (in-vehicle components connected to cloud backends).