About
DXC-Luxoft is a software integrator and solution house for automotive OEMs and suppliers. It supports German OEMs in building next-generation battery-electric vehicle platforms by industrializing, integrating and testing platform and functional software.
Responsibilities
•Lead AI and GenAI initiatives across customer projects, providing architecture guidance and technical leadership
•Identify opportunities for AI-driven automation and productivity improvements based on business challenges
•Design and implement enterprise-grade AI solutions, including LLM-powered applications, intelligent assistants, RAG systems, and agentic or multi-agent workflows on lakehouse and data platforms
•Design tool-calling interfaces for AI agents that safely expose internal data, diagnostics, and business logic to LLM-based systems
•Define architecture, technology stacks, security controls, and governance principles for AI-powered platforms, including role-based access, data-usage governance, and time-boxed permission models
•Establish structured release and promotion practices for AI platforms, including environment gates, monitoring, rollback, and production verification
•Support pre-sales by creating solution concepts, architecture proposals, estimates, and technical presentations
•Drive adoption of MLOps, LLMOps, evaluation frameworks, observability, and Responsible AI principles
•Collaborate with stakeholders, product owners, and engineering teams to translate business requirements into scalable technical solutions
Requirements
•7+ years of professional experience in development or architecture, with proven experience as a Software Architect, Solution Architect, or AI Architect
•Strong expertise in designing and delivering enterprise AI and GenAI solutions
•Hands-on experience with LLMs and AI frameworks such as OpenAI, Azure OpenAI, LangChain, Semantic Kernel, AutoGen, or CrewAI
•Strong knowledge of RAG, vector databases, embeddings, prompt engineering, and agentic architectures
•Experience with lakehouse and data-platform ecosystems for hosting and serving AI applications, including CI/CD-driven deployment
•Understanding of AI governance, security, privacy, and Responsible AI practices, including role-based and time-boxed data-access models
•Experience establishing CI/CD pipelines and MLOps/LLMOps processes for AI solutions
•Experience producing architecture documentation and technical design artifacts
•Strong communication, collaboration, and stakeholder management skills; eager to learn
•Strong focus on business outcomes and ability to solve complex customer problems using AI technologies
Nice to have
•Experience in automotive engineering projects
•Azure AI Foundry, Azure Machine Learning and Azure AI Services
•Multi-agent and autonomous AI systems
•Neo4j, GraphRAG or knowledge graph solutions
•Vector databases such as Pinecone, Weaviate, Azure AI Search, Qdrant or Milvus
•Pre-sales activities, customer workshops and solution discovery sessions
•Clean, maintainable and testable code
Conditions
•Join a highly competent and motivated international team
•Apply your talent to creating the mobility solutions of the future
•Gain hands-on experience working with well-recognized customers
•Personal growth and promotion options
•Make an impact on the overall growth of DXC-Luxoft
•Work on a project involving cutting-edge automotive technologies
