AI Integration Architect
⚲ Warszawa
25 200 - 28 560 PLN netto (B2B)
Wymagania
- AI/ML
- Cloud
- Azure
Opis stanowiska
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
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
🔍 Dekoder Ogłoszenia
🟡
boost their potential in delivering outstanding, cutting-edge technologies that shape the world of the future
Firma pozycjonuje się jako lider innowacji, co może sugerować pracę nad ambitnymi, ale potencjalnie trudnymi do zrealizowania projektami.
🟡
experienced AI Integration Architect
Poszukiwany jest ktoś z udokumentowanym doświadczeniem w architekturze AI, a niekoniecznie osoba, która dopiero zaczyna swoją przygodę z tą dziedziną.
🟡
contribute to the design, build, and evolution of AI-enabled platform features
Rola obejmuje szeroki zakres obowiązków od projektowania po utrzymanie, co może oznaczać dużą odpowiedzialność i różnorodność zadań.
🟡
support the extension of existing data platform features with AI-driven use cases and services
Może oznaczać integrację AI z istniejącymi, potencjalnie przestarzałymi systemami, co bywa wyzwaniem.
🟡
possible to extend it
Choć projekt ma określony czas trwania, możliwość przedłużenia jest niepewna i zależy od wielu czynników.