The posting
Working as an AI Solution Architect, you will:
- Design end-to-end architectures for GenAI/LLM-driven solutions across numerous business scenarios
- Interpret business and architecture requirements and convert them into practical technical designs
- Partner with TPMs and engineering teams to steer delivery, address risks, and maintain alignment
- Develop reusable and scalable solution patterns that can be leveraged across teams and domains
- Prioritize rapid value delivery in early stages while contributing to long-term architectural standards
- Support planning across multiple releases, including feasibility analysis from POC to MVP
- Contribute to architectural governance forums as standards and best practices evolve
- 4-10 years of experience designing or building AI-enabled systems
- Hands-on work with LLM-based applications, RAG approaches, and vector databases
- Experience with agent-based workflows and Python AI ecosystems (e.g., modern orchestration frameworks)
- Proven ability to design modular, flexible architectures rather than monolithic solutions
- Experience evaluating complex, multi-layer systems (e.g., data ingestion, ETL, AI components, optional UI/UX)
- Strong analytical thinking and ability to propose practical, efficient solutions
- Comfortable collaborating across distributed teams and time zones
- Ability to support multiple initiatives simultaneously while maintaining high quality
- Strong technical credibility with confidence to advise and challenge engineering teams
Our client is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. It operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector.



