Enterprise Data & AI Solutions Architect, Financial Services

Amazon

Greater London

On-site

GBP 120,000 - 180,000

Full time

14 days+

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Job summary

Amazon Web Services (AWS) is seeking a Specialist Data & AI Solutions Architect within our Global Financial Services (GFS) organisation to shape data foundations and AI-ready architectures for tier-one financial institutions across EMEA and APJ.

You will design lakehouses, feature stores, real-time pipelines, and governance models, helping customers move from experimentation to production-scale agentic and generative AI systems while navigating regulatory constraints and data sovereignty.

Qualifications

Master's degree or above in computer science, engineering, mathematics or equivalent, or Bachelor's degree in computer science, engineering, mathematics or equivalent.
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 with data infrastructures: relational analytic DBMS, Elastic-Search, and Big Data EMR/EC2/Glue/Lambda, or experience with training and deploying machine learning systems to solve large-scale optimizations
Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients

Responsibilities

Serve as the trusted technical advisor for data and AI strategy across a small number of the largest, most complex Global Financial Services accounts in EMEA and APJ
Design data architectures — lakehouses, knowledge graphs, vector stores, feature platforms, real-time pipelines — that form the foundation for agentic and generative AI, tailored to the regulatory, sovereignty, and resilience requirements of tier-one financial institutions
Guide customers on building AI-ready data estates: quality, lineage, governance, semantic layers, and retrieval frameworks that enable trustworthy AI grounding at scale
Advise on agentic system architecture — RAG, tool-use patterns, memory and state management, multi-agent orchestration, and human-in-the-loop guardrails — with attention to auditability, explainability, and compliance
Collaborate with account teams, GenAI specialists, and the broader specialist SA community to shape long-term strategies connecting data modernisation to AI value realisation
Engage at senior technical and executive levels, translating complex concepts into business-aligned recommendations that link data investment to measurable AI outcomes
Develop reference architectures and reusable assets addressing financial services patterns — regulatory-compliant RAG, multi-jurisdictional data mesh, real-time decisioning, and secure agent-to-data connectivity
Publish thought leadership content (whitepapers, blogs, workshops) on data foundations for AI and agentic system design in financial services
Partner with service teams (Bedrock, Q, Glue, Lake Formation, Redshift, OpenSearch, Neptune) and product groups to influence roadmap priorities based on customer needs
Stay current on emerging trends in data architecture, foundation models, and agentic AI frameworks, feeding insights into customer engagements and internal communities