AI SW Architect

Luxoft Poland; Polska; On-site; PLN 320,000 - 520,000; Full time

Benefits offered by this job

International team

Cutting-edge automotive projects

Hands-on with major clients

Growth and promotion opportunities

Impact on DXC-Luxoft's growth

Mobility in European market

Job summary

DXC-Luxoft seeks a seasoned AI Architect to lead GenAI initiatives and deliver enterprise AI platforms. You will craft architectures, guide teams across projects, and shape governance for secure, scalable AI deployments.

Responsibilities include designing LLM-powered apps, RAG systems and tool-calling interfaces, plus driving MLOps and Responsible AI practices to meet client goals.

Qualifications

• 7+ years of professional experience in development or architecture as SW 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 (OpenAI, Azure OpenAI, LangChain, Semantic Kernel, AutoGen, CrewAI).
• Knowledge of Retrieval-Augmented Generation, vector databases, embeddings, prompt engineering and agentic architectures.
• Experience with lakehouse/data-platform ecosystems (Databricks) and CI/CD deployment (GitHub Actions).
• Understanding of AI governance, security, privacy and Responsible AI practices.
• Experience establishing CI/CD/MLOps for AI solutions.
• Ability to produce architecture docs and design artifacts.
• Strong communication and stakeholder management skills.
• Focus on business outcomes and solving complex customer problems with AI.

Responsibilities

• Lead AI and GenAI initiatives across customer projects with architecture guidance.
• Identify business challenges and opportunities for AI-driven automation and productivity gains.
• Design and implement enterprise AI solutions including LLM-powered apps and RAG systems.
• Design tool-calling interfaces exposing data and logic safely to LLM-based systems.
• Define architecture, tech stack, security controls and governance for AI platforms.
• Establish release practices for AI platforms with monitoring and production verification.
• Support pre-sales with solution concepts, architecture proposals and presentations.
• Drive adoption of MLOps, LLMOps, observability and Responsible AI practices.
• Collaborate with stakeholders to translate business requirements into scalable solutions.

Skills

AI Architect

GenAI

LLMs

RAG

Databricks

MLOps

AI governance

Tools

Azure OpenAI

LangChain

Semantic Kernel

AutoGen

Job description

DXC-Luxoft is an industry-leading software integrator and solution house for automotive OEMs and suppliers. There are millions of cars on the road today with solutions designed by DXC-Luxoft. DXC-Luxoft is currently supporting several German OEMs in building their next-generation battery-electric vehicle platforms. We help industrializing, integrating and testing the platform and functional software, especially during critical integration phases approaching start-of-production. For expanding our business offering in the European market, we seek to establish experienced automotive engineers. DXC-Luxoft is happy to receive applications from self-motivated and self-disciplined applicants who communicate well, like to work in teams, and are highly motivated to bring value to our automotive customers. For the successful candidate, we offer the opportunity to enhance and develop your career with the following benefits:

• -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
• - Our interesting project connected with cutting-edge automotive technologies.

Responsibilities:

• - Lead AI and GenAI initiatives across customer projects by providing architecture guidance and technical leadership.
• - Develop a deep understanding of business challenges and identify opportunities for AI-driven automation and productivity improvements.
• - Design and implement enterprise-grade AI solutions, including LLM-powered applications, intelligent assistants, RAG systems and agentic/multi-agent workflows, deployed on lakehouse/data platforms (e.g. Databricks).
• - Design tool-calling interfaces for AI agents (e.g. MCP-style tool servers) that expose internal data, diagnostics and business logic safely to LLM-based systems.
• - Define architecture, technology stack, 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 (e.g. DEV → PRE/staging → PROD gates) with monitoring, rollback and production-verification discipline.
• - Support pre-sales activities by creating solution concepts, architecture proposals, estimates and technical presentations.
• - Drive adoption of modern AI engineering practices, including 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.

Mandatory Skills Description:

• - 7+ years of professional experience - development / architecture with proven experience as SW 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 (OpenAI, Azure OpenAI, LangChain, Semantic Kernel, AutoGen, CrewAI or similar).
• - Strong knowledge of Retrieval-Augmented Generation (RAG), vector databases, embeddings, prompt engineering and agentic architectures.
• - Experience with lakehouse/data-platform ecosystems (e.g. Databricks) for hosting and serving AI applications, including CI/CD-driven deployment via GitHub Actions or similar.
• - 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.
• - Eager to learn, with strong communication, collaboration and stakeholder management skills.
• - Strong focus on business outcomes and ability to solve complex customer problems using AI technologies.

Nice-to-Have Skills Description:

• - Experience in Automotive engineering projects.
• - Experience with Azure AI Foundry, Azure Machine Learning and Azure AI Services.
• - Experience implementing multi-agent and autonomous AI systems.
• - Experience with Neo4j, GraphRAG or knowledge graph solutions.
• - Familiarity with vector databases such as Pinecone, Weaviate, Azure AI Search, Qdrant or Milvus.
• - Experience supporting presales activities, customer workshops and solution discovery sessions.
• - Ability to write clean, maintainable and testable code.