Lead Solutions Architect: AI-Driven Banking & Integrations

Backbase

Amsterdam

On-site

EUR 110,000 - 160,000

Full time

3 days ago

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Job summary

Backbase is seeking a Principal Solutions Engineer to design and test Digital Banking and Agentic Banking solutions for banks, combining banking knowledge with technical leadership. You will run customer workshops, build prototypes, and ensure solutions meet business and technical needs.

You will own solution documentation, validate AI reliability and security, and collaborate with Sales, Product and Services to deliver production-ready banking OS integrations while mentoring teammates and

Qualifications

Experience designing complex enterprise solutions in solutions engineering, technical consulting or enterprise software presales.
Strong knowledge of retail, business, corporate banking or wealth management.
Practical experience with AI agents, knowledge retrieval and AI applications, including orchestration, tool integration, testing, monitoring and error handling.
Ability to build, test, and troubleshoot solutions using AI-assisted development tools while following strong validation and data-handling practices.
Understanding of enterprise architecture, APIs, integrations, cloud, identity, security and data flows.
Ability to communicate with senior executives and engineers, explain technical concepts and clarify business and technical trade-offs.
A proactive and collaborative approach, with the ability to work independently when requirements are unclear.
Experience mentoring colleagues and willingness to travel for customer engagements approximately 25% of the time.

Responsibilities

Lead discovery and design for Digital Banking and Agentic Banking.
Build and test demonstrations and prototypes.
Develop Agentic Banking solutions by connecting AI agents to banking knowledge and workflows.
Coordinate the solution with Sales, Value Consultants, Solutions Architects, Product, Services and partners.
Own the Digital Solution Document (DSD) with dependencies and controls for production.
Lead technical validation of AI reliability, data privacy, security and agent autonomy.
Support delivery by aligning Services and partners on commitments and resolving questions.
Mentor colleagues and create reusable solution assets.