AI Solution Architect @ GFT Poland

What will you do? 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. Openness to work in a hybrid model (2 days from the office per week) Your skills: Experience in designing and building software solutions using modern architectures and technologies – including complex AI solutions, such as AI agents, chatbots, intelligent automation, AML and fraud detection or advanced analytics Strong background in solution architecture, with proven ability to design end-to-end systems integrating AI/ML components Practical knowledge of AI technologies and frameworks (e.g., LLMs, NLP, ML pipelines, vector databases, model serving, MLOps) Experience in leveraging cloud solutions with one of leading, public cloud providers: AWS/GCP/Azure Knowledge of modern architecture: microservices, containers, Kubernetes, Kafka, API management, event-driven systems, agentic systems Understanding non-functional requirements (security, performance, observability, resilience, and governance) Familiarity with Continuous Integration & Delivery, Agile principles, and DevOps practices Excellent communication skills—able to explain complex technical concepts to non-technical audiences and engage senior stakeholders confidently. Ability to translate business requirements into secure, scalable, and reliable solutions Ability to support sales and offering development, creating proposals and solution blueprints for clients Advanced experience and knowledge across various aspects of IT, including networking, virtualization, identity, security, business continuity, disaster recovery, data management, budgeting, and governance Previous experience in banking, financial services, or fintech is highly desirable 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. We offer you: Hybrid work from – 2 office day per week Contract of employment or B2B contract Working in a highly experienced and dedicated team Benefit package that can be tailored to your personal needs (private medical coverage, sport & recreation package, lunch subsidy, life insurance, etc.) On-line training and certifications fit for career path Access to e-learning platform Mindgram - a holistic mental health and wellbeing platform Work From Anywhere (WFA) - the temporary option to work remotely outside of Poland for up to 140 days per year (including Italy, Spain, the UK, Germany, Portugal, and Bulgaria) Social events ,[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, Microservices, Kubernetes, Infrastructure as Code, English, AI, Cloud, Kafka, LLM, Containers, Technical background Additionally: Home office, Knowledge sharing, Life insurance, Sport subscription, Training budget, Private healthcare, International projects.