Senior Solutions Architect, Data & AI, AGS UKI Data & AI Solutions Architecture

Amazon Web Services (AWS) is seeking an experienced Senior Solutions Architect to join our Data & AI Solutions Architecture team the UK. As a trusted technical advisor, you will help leading financial institutions innovate and transform their business using AWS technologies.

Solutions Architects work hand in hand with AWS customers to help them make the most of the Cloud. They own the overall technical relationship between customers and AWS and make recommendations on security, cost, performance, reliability and operational efficiency. They work to understand the customer's business needs and give prescriptive guidance on how to create business value with technology. To do this they collaborate with other teams such as account management, professional services, support, product teams and the AWS partner ecosystem.

In this role you will get to practice your creativity, linking technology to tangible solutions and educating AWS customers about the art of the possible within a diverse and evolving market.

The Solutions Architecture team is a diverse group of technologists from a variety of backgrounds. Practical knowledge of the AWS platform is desired but not required, provided you have a sound technical foundation and a desire to learn.

• Key job responsibilities
• - Own the technical relationship with the customer and operate as their trusted advisor. The best interests of the customer will shape the guidance you provide
• - Lead technical discussions, architecture design and reviews, and workshops across trading, risk, post-trade, market data, asset and wealth management domains to drive business value
• - Design scalable and secure solutions leveraging AWS services and emerging technologies (AI/ML)
• - Collaborate with sales teams to develop and execute customer engagement strategies
• - Create technical content and reference architectures for capital markets use cases
• - Influence AWS product roadmap based on customer needs

Basic qualifications

• - Bachelor's degree in computer science, engineering, mathematics or equivalent, or experience in a professional field or military
• - Experience in IT development or implementation/consulting in the software or Internet industries
• - Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).
• - Experience in design, implementation, or consulting in applications and infrastructures
• - Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients

Preferred qualifications

• - Experience implementing AI solutions that can include integration of LLMs/multi-modal FMs in large scale systems, fine-tuning LLMs, deployment and distributed inference of LLMs, RAG, FM evaluation, Vector DBs, Agentic workflows, prompt/context engineering, and MLOps.
• - Hands-on experience with AWS ecosystems (including Bedrock, AgentCore, and SageMaker) to set up secure, private-network AI environments, and practical experience implementing Retrieval-Augmented Generation using embeddings, vector stores, and semantic search optimization.

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