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As an AI Solution Architect, you will combine deep solution architecture expertise with hands-on experience in AI and machine learning technologies. You will advise stakeholders and translate business and functional requirements into secure, scalable, and intelligent software solutions that leverage AI capabilities. You will own the technical engagement and ultimate success around specific implementation projects.
This role requires managing how decisions in each area affect the overall solution, developing deep expertise in enterprise systems architecture, systems integration, and cloud technologies. Furthermore, it involves capturing and sharing best practices within the solution architect community and understanding the specific business domain you will be working in.
Your role will bridge architecture, delivery, and innovation.
Why join GFT?
You will work with and learn from top IT experts. You will join a crew of experienced engineers: 60% of our employees are senior level.
Interested in the cloud? You will enjoy our full support in developing your skills: training programs, certifications and our internal community of experts. We have strong partnerships with top cloud providers: Google, Amazon and Microsoft - we are number one in Poland in numbers of GCP certificates. Apart from GCP, you can also develop in AWS or Azure.
We are focused on development and knowledge sharing. Internal expert communities provide a comfortable environment where you can develop your skillset in areas such as blockchain, Big Data, cloud computing or artificial intelligence.
You will work in a stable company (32 years on the market) in demanding and challenging projects for the biggest financial institutions in the world.
Your skills:
Nice to have
As an AI Solution Architect, you will combine deep solution architecture expertise with hands-on experience in AI and machine learning technologies. You will advise stakeholders and translate business and functional requirements into secure, scalable, and intelligent software solutions that leverage AI capabilities. You will own the technical engagement and ultimate success around specific implementation projects.
This role requires managing how decisions in each area affect the overall solution, developing deep expertise in enterprise systems architecture, systems integration, and cloud technologies. Furthermore, it involves capturing and sharing best practices within the solution architect community and understanding the specific business domain you will be working in.
Your role will bridge architecture, delivery, and innovation.
Why join GFT?
You will work with and learn from top IT experts. You will join a crew of experienced engineers: 60% of our employees are senior level.
Interested in the cloud? You will enjoy our full support in developing your skills: training programs, certifications and our internal community of experts. We have strong partnerships with top cloud providers: Google, Amazon and Microsoft - we are number one in Poland in numbers of GCP certificates. Apart from GCP, you can also develop in AWS or Azure.
We are focused on development and knowledge sharing. Internal expert communities provide a comfortable environment where you can develop your skillset in areas such as blockchain, Big Data, cloud computing or artificial intelligence.
You will work in a stable company (32 years on the market) in demanding and challenging projects for the biggest financial institutions in the world.
,[Act as a trusted advisor and reference point for AI-enabled solutions within the organization and for clients. Work independently with senior stakeholders, Lead or support end-to-end solution delivery – across both AI and non-AI projects – ensuring robust architecture, scalability, and alignment with enterprise standards, Support pre-sales and client engagements, helping pitch and position our AI solutions to senior level stakeholders, Capture and share best practices in AI and solution design across teams and contribute to the continuous evolution of our AI portfolio Requirements: Architect, AI, Microservices, containerization, Kubernetes, Infrastructure as Code, DevOps, Cloud, English, LLM, Machnine Learning, Kafka, Agents, Chatbots Additionally: Home office, Knowledge sharing, Life insurance, Sport subscription, Training budget, Private healthcare, International projects, Lunch card.