AI Integration Architect
In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting-edge technologies that shape the world of the future. We are seeking an experienced AI Integration Architect to join the Global Architecture team. In this role, you will contribute to the design, build, and evolution of AI-enabled platform features, including AI/ML, GenAI, and advanced analytics capabilities. Moreover, you will support the extension of existing data platform features with AI-driven use cases and services.
Project information:
Type of project: IT services
Office location: Warsaw, Poland
Work mode: Remote from Poland
Budget: 150-170 PLN net/ h- b2b
Project length: Till the end of 2026, possible to extend it
Only candidates with citizenship in the European Union and residence in Poland
Start date: ASAP (depending on candidate's availability)
Project scope:
Design and implement end-to-end AI architectures, including data preparation, model development, deployment, and lifecycle management
Drive the adoption of standards for AI/ML and GenAI within platform feature design
Evaluate emerging AI technologies, frameworks, and tools, and recommend their integration into the platform
Translate business and product needs into AI technical architecture requirements
Produce AI architecture documentation (diagrams, guidelines, specifications), including responsible AI and governance aspects
Provide technical leadership and guidance on AI topics to data engineering, analytics, and product teams
Ensure performance, scalability, reliability, security, and ethical use of AI solutions
Contribute to architecture reviews and ensure alignment with enterprise architecture, data, and AI strategies
Promote best practices for MLOps, ModelOps, and AI lifecycle management
Support the development of scalable, secure, and compliant AI capabilities within Data & AI platforms
Ensure compliance with best practices, regulatory constraints, data privacy, and Responsible AI principles
Enable reuse and industrialization of AI patterns, accelerators, and components across platforms
Competence demands:
Minimum 6-8 years of experience in IT, including roles such as Integration Architect or Solution Architect
Proven experience in AI / ML architecture and advanced analytics platforms (understanding of AI/ML architectures including feature stores, model training, deployment, and monitoring)
Strong understanding of cloud-based AI ecosystems and data platforms
Expertise in Azure AI services (Azure Machine Learning, Azure OpenAI, Cognitive Services, Databricks ML/LLM features)
Experience with MLOps frameworks and CI/CD for AI (Azure ML pipelines, GitOps, model versioning)
Data processing and feature engineering using Azure Data Factory, Databricks, Spark
Knowledge of security and governance for AI: data privacy, model access control, Responsible AI, explainability, and bias mitigation
Experience with monitoring and observability for AI workloads (model performance, drift, quality, cost)
Familiarity with GenAI patterns such as RAG, prompt engineering, and vector databases
Ability to cooperate directly with clients and transform business needs into technical solutions
Very good English skills
Nice to have:
Experience with frameworks such as LangChain, Semantic Kernel, or AutoGen
Knowledge of Agentic AI / Autonomous Agents architecture
Relevant certifications (TOGAF, Azure/AWS Architect, MuleSoft, etc.)
German language skills
We offer:
Remote working model
Dynamic and innovation-driven engineering environment
Full-time job agreement based on b2b
Private medical care with dental care (covering 70% of costs)
Multisport card (also for an accompanying person)
Life insurance