Job
- Level
- Lead
- Location
- Munich
- Working Model
- Onsite
- Job Field
- IT, DevOps, Embedded
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will design the system architecture for AI-powered voice assistants by developing prototypes, overseeing end-to-end pipelines, and creating optimal solutions for edge and cloud environments.
Job Technologies
Your role in the team
- Our client is advancing its in-vehicle voice assistant into an intelligent, AI-powered companion.
- Large-language-model capabilities (Azure OpenAI / ChatGPT) have been running in production across vehicles.
- The goal of the project is to develop a backend which is the cloud AI orchestration service behind this: it receives requests from the vehicle, routes them, orchestrates the LLM, tool services and agents, and returns an answer or action to the car.
- DXC Luxoft acts as the end-to-end delivery partner, collaborating within a joint product team with the client's engineers on the Azure platform.
- This is the series development and operations work package - a live platform serving a large vehicle fleet, which extends sprint by sprint the backend features while availability and backward compatibility are maintained.
- Neue Funktionalitäten in Planung umfassen Streaming über die gesamte ASR LLM TTS-Kette, Barge-in, Multi-Intent-Handling, eine Guardrails-Schicht für deterministische, fahrzeugsichere Antworten, Agenten-Routing und neue Tool-Integrationen.
- The role is Technical Lead and Location Lead for the engineering team.
- It is a hands-on delivery leadership role: the person is accountable for what the team ships, for the service running inside its availability and incident targets, and for the technical growth of the location.
- Work package A - Concept development & pre-development (research, evaluation, prototyping).
- Own the system architecture for hybrid (cloud/edge) voice assistant systems - define the edge/cloud allocation model, routing criteria, and the port/adapter boundaries that allow functions to move between cloud and vehicle without redesign.
- Design and oversee end-to-end prototype pipelines (ASR LLM TTS), including integration into early vehicle platforms (E³, SDV) and test operation in lab and driving environments.
- Drive evaluation and benchmarking of base components: on-device ASR for edge hardware, modern TTS models (latency, robustness, audio quality, energy efficiency), and candidate LLMs for dialogue-based assistant functions via Azure AI Foundry.
- Define RAG architectures for improved knowledge coverage and robustness, including embedding strategies and small-scale vector stores for specific automotive use cases.
- Architect the embedded/edge AI optimisation workstream: quantisation, pruning and distillation for ARM/DSP/NPU targets, with explicit attention to memory footprint, energy consumption, wake-word efficiency and thermal behaviour.
- Shape the research agenda for future key technologies - continual learning and on-device model adaptation (anti-drift), multimodal interaction (speech + image + vehicle sensor data), emotion and sentiment recognition, privacy-compliant on-device personalisation and long-term memory, multi-speaker handling, speaker identification and anti-spoofing.
- Embed safety, security and privacy mechanisms into concepts from the start (differential privacy, secure enclaves, automotive security standards) and ensure interoperability with vehicle architectures (SOA, microservices, zonal architecture).
- Apply and enforce hexagonal architecture as the structural standard, so prototypes are transferable into series development rather than thrown away.
- Produce the technical concepts, architecture decision records and evaluation reports that hand research results over to the series development work package - and defend them in review with the client's architects.
- Führen Sie das Offshore-Engineering-Team als Standortleiter: technische Leitung für AI/ML- und AI Ops-Ingenieure, Standards für Code- und Design-Reviews, Arbeitsaufteilung und Schätzung bei einem hochdurchsatzfähigen Ticketfluss (~30 Tickets/Sprint, Größen S/M/L), Onboarding und Kompetenzentwicklung.
- Act as the offshore technical counterpart to the onshore solution architect and client engineering teams; run technical alignment across time zones and represent the location in architecture boards and sprint ceremonies.
This text has been machine translated. Show original
Our expectations of you
Qualifications
- Edge / on-device AI: model optimization (quantization, pruning, distillation) and deployment to constrained hardware - ARM, DSP, NPU, or mobile/embedded equivalents.
- Expert in Python.
- Hands-on with LLM frameworks in production: LangChain, LangGraph or equivalent.
- Nachweisliche Erfahrung darin, AI/ML- oder LLM-Systeme vom Prototyp bis in die Produktion zu bringen – keine reine Forschung.
- Azure OpenAI Service or OpenAI API in practice, plus Azure cloud (AKS or Container Apps).
- English C1, and willingness to travel to Germany for workshops, architecture reviews and prototype test campaigns.
Experience
- 3+ years as architect or technical lead, with end-to-end ownership of a system's design (within 8+ years total engineering experience).
- Practical experience building RAG systems: embedding models, vector stores, retrieval evaluation.
- Integration experience with at least one ASR or TTS engine (Whisper, Azure Speech, Cerence or equivalent).
- Experience leading a distributed engineering team (5-10 engineers) in Scrum/Kanban.
This text has been machine translated. Show original
Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
Luxoft
As a leading IT service provider, Luxoft offers innovative technology solutions that help global enterprises achieve measurable business results. Services include strategic consulting, custom software development resources, and technical solution development. This allows companies to compete successfully by utilizing our expertise in industries such as financial services, automotive, communications, and healthcare & life sciences.
Description
- Company Type
- Digital Agency
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Employer reviews
by devworkplaces.com
Total
(3 Reviews)4.5
Culture
4.4Career Growth
4.7Engineering
4.3Workingconditions
4.6
AI Edge Solution Architect
- Location
- Munich
- Working Model
- Onsite
- Diversity
- Open for all genders
