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.
Your role will bridge architecture, delivery, and innovation.
Your tasks:
- 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
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) including security aspects
- Ability to design secure, scalable and reliable AI solutions addressing customer business needs and aligned with technical requirements
- 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 support sales and offering development, creating proposals and solution blueprints for clients, and participating in workshops
- 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
This possibility applies to work on a B2B basis.