AI Architect Leader - GenAI for Digital Banking

Ebankit; Porto; Híbrido; EUR 90 000 - 120 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid working model

Well-being plan

Social events and team activities

Gym partnerships and healthy living

Resumo da oferta

ebankIT is seeking an AI Architect Leader to define and drive the technical vision for AI across its omnichannel digital banking platform. You will operate at the intersection of AI, software architecture, product and financial services to turn AI capabilities into production-grade solutions.

You will design scalable architectures around LLMs, GenAI, RAG and AI agents, while mentoring engineers and guiding cross-functional teams on secure, observable, and responsible AI systems in a global

Qualificações

• Experience with technologies such as LLMs, GenAI, RAG, AI agents, cloud platforms and modern software architecture.
• Experience working with international markets environments.
• Fluency in English (mandatory).
• Availability to travel internationally.

Responsabilidades

• Define the AI architecture strategy for ebankIT.
• Help shape how AI becomes part of the next generation of digital banking experiences.
• Work closely with engineering, product and business teams to identify where AI can create genuine value.
• Mentor engineers and architects, raising the organisation's AI engineering capabilities.

Conhecimentos

English fluency

Strong communication

Cross-functional collaboration

Production-ready AI

Ferramentas

LLMs

GenAI

RAG

AI agents

Cloud platforms

Descrição da oferta de emprego

ebankIT is seeking an AI Architect Leader to define and drive the technical vision for AI across its omnichannel digital banking platform. You will operate at the intersection of AI, software architecture, product and financial services to turn AI capabilities into production-grade solutions.

You will design scalable architectures around LLMs, GenAI, RAG and AI agents, while mentoring engineers and guiding cross-functional teams on secure, observable, and responsible AI systems in a global