AI Integration Architect

AI Integration Architect

Miejsce pracy: Warszawa

Technologies we use

Expected

• Azure Machine Learning
• Azure OpenAI
• Cognitive Services
• Databricks
• GitOps

Optional

• LangChain
• Semantic Kernel
• AutoGen
• TOGAF
• Microsoft Azure
• AWS

Operating system

• Windows

About the project

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)

Your responsibilities

• 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

Our 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
• Ability to cooperate directly with clients and transform business needs into technical solutions
• Very good English skills

Optional

• 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

This is how we organize our work

This is how we work

• at the client's site
• you focus on a single project at a time
• you have influence on the technological solutions applied
• you have influence on the product
• agile
• scrum

This is how we work on a project

• Clean Code
• code review
• architect / technical leader support
• Continuous Deployment
• Continuous Integration
• documentation
• issue tracking tools

Development opportunities we offer

• development budget
• intracompany training
• mentoring
• substantive support from technological leaders
• technical knowledge exchange within the company

What 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

Benefits

• sharing the costs of sports activities
• private medical care
• sharing the costs of professional training & courses
• remote work opportunities
• flexible working time
• integration events
• dental care
• extra social benefits

Recruitment stages

• Phone interview
• Technical interview
• Project meeting

Cyclad

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.

Please enclose the following statement in your application: I hereby give consent for my personal data contained in the submitted application documents to be processed by Cyclad sp. z o.o., ul. Chłodna 48/1, 00-872 Warszawa, including my image, in relation to my participation in the recruitment process. I acknowledge that the above consent may be withdrawn at any time.
If you are interested in participating in future recruitment processes, please enclose the following statement in your application: I hereby give consent for my personal data contained in the submitted application documents to be processed by Cyclad Sp. z o.o., Cyclad sp. z o.o., ul. Chłodna 48/1, 00-872 Warszawa, including my image, in relation to my participation in future recruitment processes. I acknowledge that the above consent may be withdrawn at any time. The Personal Data Controller is Cyclad Sp. z o.o., ul. Chłodna 48/1, 00-872 Warszawa, e-mail: Wyświetl e-mail na pracuj.pl, contact with the Data Protection Officer is available via e-mail: Wyświetl e-mail na pracuj.pl. Personal data collected through job applications (CV) within the scope provided for in labor regulations shall be processed in order to allow performance of the ongoing recruitment pursuant to Art. 6(1)(a) of Regulation (EU) no. 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of individuals with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (further referred to as GDPR). In case of giving consent to processing of data for future recruitment processes – personal data shall be processed under the consent, pursuant to Art. 6(1)(a) of the GDPR. If the Application form contains data referred to in Art. 9(1) of the GDPR, it shall be necessary to have the candidates consent for the processing of such data (Art. 9(2)(a) of the GDPR). The consent can be revoked at any time. Withdrawal of the consent shall not affect the lawfulness of the processing that had been performed under the consent prior to its withdrawal. Personal data provided by the candidate related to: - participation in a selected recruitment process will be stored until the recruitment process is completed for a given position, - participation in future recruitment processes will be stored until the candidate's consent to the processing of their data for this purpose is withdrawn, no longer, however, than for 5 years since the last update of the candidate’s data. Personal data may be disclosed to employees or associates of the Company, entities providing support to the Company on the basis of outsourced services or in accordance with data processing agreements, to entities authorized under the law, as well as to entities collaborating with the Company within the scope of job placement, in order to conduct recruitment processes. After the employee’s consent, personal data may also be disclosed to a potential employer for whom the recruitment process is being conducted. Submission of the candidate’s personal data within the scope under Art. 221 of the Labor Code is obligatory for participation in the recruitment process. Submission of other data by the candidate is voluntary. No submission of personal data within the required scope or objection to the processing of such data shall result in lack of possibility to include the Application in the recruitment processes conducted by the Company. The candidate has the right to access and rectify the contents of their data, remove such data, limit its processing, transfer such data, submit objection to the processing and revoke the consent at any time, without affecting the lawfulness of the processing conducted under such consent before it was withdrawn. The candidate also has the right to file a complaint with the President of the Office for Personal Data Protection when they consider the processing of their personal data to be a violation of the provisions of the GDPR.