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

Amazon Inc.; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Amazon Web Services (AWS) seeks a Senior Solutions Architect to join the Data & AI Solutions Architecture team in the UK. You will own the technical relationship with customers, lead architecture discussions, and design scalable, secure cloud solutions using AWS services (AI/ML) to deliver business value across capital markets.

Strong collaboration with sales, PS, and product teams is required. The role emphasizes translating customer needs into prescriptive guidance, with exposure to emerging

Qualifications

• Bachelor's degree or equivalent in a technical field.
• Experience in IT development or consulting in software/Internet industries.
• Experience across cloud computing, systems engineering, security, networking, data & analytics.
• Experience in design, implementation, or consulting for applications and infrastructures.
• Excellent communication with technical and non-technical audiences.

Responsibilities

• Own the technical relationship with the customer as trusted advisor.
• Lead architecture design reviews and workshops across domains to drive business value.
• Design scalable, secure solutions leveraging AWS services and emerging tech (AI/ML).
• Collaborate with sales to develop customer engagement strategies.
• Create technical content and reference architectures for capital markets use cases.
• Influence AWS product roadmap based on customer needs.

Skills

Cloud computing

Data & analytics

Systems engineering

Security

Networking

Education

Bachelor's degree in computer science, engineering, mathematics or equivalent

Tools

Bedrock

SageMaker

Vector databases

Job description

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

Job ID: 10581665 | AWS EMEA SARL (UK Branch)

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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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.