AI Integration Architect

Czym będziesz się zajmować?

• 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

Kogo poszukujemy?

Key requirements

• 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

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

Czego wymagamy?

6 lat doświadczenia na podobnym stanowisku

Znajomości

• AI/ML Architecture
• Cloud-based AI platforms
• Azure AI
• Cloud
• AI/ML
• Azure
• Azure Machine Learning
• Azure OpenAI
• Cognitive Services
• Databricks ML/LLM
• MLOps
• Azure Data Factory

Języki

• Angielski
• Niemiecki

Jakie warunki i benefity otrzymasz?

• 25.2k-28.6k PLN netto/m (B2B)
• B2B - Elastyczne godziny pracy (100%)
• Praca zdalna: W całości
• Pakiet medyczny, Ubezpieczenie, Pakiet sportowy

Kim jesteśmy? In the vibrant sphere of international consulting, Cyclad distinguishes itself with deep specialization in the IT/ICT sectors. Our commitment to excellence propels us to deliver a broad array of outsourcing services, spanning HR and IT domains.

Catering to diverse industries such as Banking, Aviation, Travel, Cybersecurity, and BPO, Cyclad's offerings are as varied as the clients we serve. This diversity not only demonstrates our versatility but also our capability to tailor solutions to the unique challenges and opportunities within each sector.

Central to Cyclad’s philosophy is a commitment to delivering services of unmatched quality while nurturing enduring relationships with our clients and our team. We believe that the foundation of our success lies in a blend of innovative technologies and the profound value we place on human connections and dedication.