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 customers 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

- Bachelors 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

- 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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