AI Architect

Traffit; Wrocław; On-site; PLN 220,000 - 248,000; Full time

Job summary

Traffit, a Polish technology consulting company, seeks an AI Architect to design scalable, secure AI solutions integrated with developer tooling and to lead GenAI, RAG pipelines, and agentic workflows.

You will work with LLMs (GPT, Claude, Llama) and implement MLOps pipelines, deploying with Docker and Kubernetes across cloud platforms like AWS, Azure, or GCP, ensuring governance and observability.

Qualifications

• Design and develop scalable, secure AI solutions integrated with developer tooling.
• Architect GenAI assistants, RAG pipelines, MCP clients/servers, and agentic workflows.
• Design AI components for IDE extensions, EMF-based models, code generators, and configuration pipelines.
• Work with LLMs such as GPT, Claude, Llama, and custom fine-tuned models.
• Build RAG solutions based on AUTOSAR and Non-AUTOSAR specifications, ARXML schemas, EMF metamodels, and domain-specific knowledge.
• Implement AI solutions using frameworks such as LangChain, LangGraph, LlamaIndex, and MCP.
• Design and optimize ML models, embeddings, and AI evaluation processes.
• Implement MLOps pipelines covering training, validation, inference, monitoring, and continuous improvement.
• Deploy and scale AI workloads using Docker and Kubernetes.
• Work with vector databases and graph databases for semantic retrieval and reasoning.
• Integrate AI services with APIs, microservices, and cloud platforms such as AWS, Azure, or GCP.
• Ensure security, governance, privacy, and observability of AI solutions.

Responsibilities

• Design and develop scalable, secure AI solutions integrated with developer tooling.
• Architect and implement GenAI assistants, RAG pipelines, MCP clients/servers, and agentic workflows.
• Design AI components for IDE extensions, EMF-based models, code generators, and configuration pipelines.
• Work with LLMs such as GPT, Claude, Llama, and custom fine-tuned models.
• Build RAG solutions based on AUTOSAR and Non-AUTOSAR specifications, ARXML schemas, EMF metamodels, and domain-specific knowledge.
• Implement AI solutions using frameworks such as LangChain, LangGraph, LlamaIndex, and MCP.
• Design and optimize ML models, embeddings, and AI evaluation processes.
• Implement MLOps pipelines covering training, validation, inference, monitoring, and continuous improvement.
• Deploy and scale AI workloads using Docker and Kubernetes.
• Work with vector databases and graph databases for semantic retrieval and reasoning.
• Integrate AI services with APIs, microservices, and cloud platforms such as AWS, Azure, or GCP.
• Ensure security, governance, privacy, and observability of AI solutions.

Skills

AI/ML architecture

LangChain

LangGraph

LlamaIndex

MCP

Python

PyTorch

TensorFlow

MLOps

Docker

Kubernetes

Security governance

Tools

MLflow

Kubeflow

Neo4j

Milvus

Pinecone

AWS

Job description

For our client, a Polish technology company specializing in technology consulting and developing business solutions, we are looking for an AI Architect.

Key responsibilities

• Design and develop scalable, secure, and resilient AI solutions integrated with developer tooling
• Architect and implement GenAI assistants, RAG pipelines, MCP clients/servers, and agentic workflows
• Design AI components for IDE extensions, EMF-based models, code generators, and configuration pipelines
• Work with LLMs such as GPT, Claude, Llama, and custom fine-tuned models
• Build RAG solutions based on AUTOSAR and Non-AUTOSAR specifications, ARXML schemas, EMF metamodels, and domain-specific knowledge
• Implement AI solutions using frameworks such as LangChain, LangGraph, LlamaIndex, and MCP
• Design and optimize ML models, embeddings, and AI evaluation processes
• Implement MLOps pipelines covering training, validation, inference, monitoring, and continuous improvement
• Deploy and scale AI workloads using Docker and Kubernetes
• Work with vector databases and graph databases for semantic retrieval and reasoning
• Integrate AI services with APIs, microservices, and cloud platforms such as AWS, Azure, or GCP
• Ensure security, governance, privacy, and observability of AI solutions
• 10+ years of experience in software architecture, including at least 5 years of experience in AI/ML
• Strong professional experience in AI/ML architecture and hands-on engineering
• Experience with Generative AI, LLMs, RAG, and agentic AI
• Experience with LangChain, LangGraph, LlamaIndex, and/or MCP
• Experience with Python and AI/ML frameworks such as PyTorch, TensorFlow, Keras, or Hugging Face
• Experience with MLOps tools such as MLflow or Kubeflow
• Experience with Docker and Kubernetes
• Knowledge of vector stores such as Milvus, Chroma, or Pinecone and graph databases such as Neo4j
• Experience with AWS, Azure, or GCP
• Experience designing enterprise-grade AI solutions with appropriate security and governance

Conditions

• Start: ASAP
• Contract type: B2B
• Rate: 160 – 180 PLN net/h + VAT
• Phone call with a Recruiter
• Online technical and recruitment interview with Client
• Decision and feedback

At KUBO, we genuinely care about people. We welcome candidates of all ages, backgrounds, identities, family constellations, health situations, and ways of thinking and interacting with the world. You’re welcome to be yourself — we value authenticity, and we’re committed to creating a fair and inclusive process for everyone.