We are looking for a pragmatic and highly technical Solution Architect, operating at the intersection of solution design and delivery.

The candidate will be expected to work hands‑on with code, contribute directly to critical technical decisions, and support the design and implementation of complex banking platforms. The role requires the ability to translate business requirements into clear, robust, and well‑reasoned technical solutions, with full ownership of the end‑to‑end delivery process.

The role increasingly involves the adoption of Artificial Intelligence solutions. The candidate is expected to demonstrate a solid understanding of how modern AI capabilities can be responsibly integrated into financial services platforms, as well as proven experience in orchestrating AI agents at scale to accelerate delivery and enable new execution models.

Responsabilities

• Design end-to-end solutions — own the architectural design of scalable, resilient, and high-performing systems across complex banking domains.
• Stay hands-on — remain actively involved in implementation, code reviews, and technical problem-solving alongside engineering teams.
• Define the standards — develop guidelines, non-functional requirements (NFRs), archetypes, walking skeletons, and reusable components that set the bar across squads.
• Build for scale and resilience — design distributed systems using microservices architecture, RESTful APIs, and event-driven approaches capable of handling enterprise-grade, high-throughput workloads.
• Harness AI as a force multiplier — identify opportunities to integrate AI capabilities (including LLMs, agentic frameworks, and AI-assisted tooling) into platform design, and actively orchestrate multi-agent workflows to accelerate project delivery — balancing innovation with the compliance and risk demands of a regulated environment.
• Champion cloud-native delivery — ensure all solutions align with our GCP adoption strategy, DevSecOps principles, and the firm's SDLC standards.
• Bridge business and technology — work closely with business stakeholders and engineering teams to translate complex banking requirements into elegant, pragmatic technical solutions.
• Drive engineering excellence — champion Agile methodologies and best practices, leveraging tools like Jira and Confluence to keep delivery sharp and transparent.

Requirements

• 7–12 years of experience in software architecture and engineering, with a strong emphasis on hands-on delivery of enterprise-scale distributed systems.
• Proven track record in a banking or financial services environment, with a solid grasp of transactional systems, data consistency, and regulatory context.
• Deep expertise in Java and hands-on experience designing and implementing REST APIs, microservices, and event-driven architectures.
• A working understanding of the AI landscape — including LLMs, prompt engineering, agentic patterns, RAG architectures, and AI orchestration frameworks — and how to apply them responsibly within a regulated enterprise context.
• Practical ability to leverage AI tooling as a force multiplier — you know how to harness AI coding assistants, orchestrate multi-agent workflows at scale, and use agentic frameworks to dramatically accelerate delivery cycles, reduce time-to-solution, and free engineering teams to focus on higher-order problems.
• Solid experience across the data domain — both relational and non-relational databases.

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