Specialist Data & AI SA, AWS Specialist & Partner Industries Organization (ASPI), Global Financial Services (GFS)
Amazon
- Location
- GB, London
- Employment
- Full Time
- Work model
- On-Site
- Level
- Mid
- Posted
- 18h ago
Skills
About this role
Shape the future of data and AI for the world's largest and most complex financial institutions. As a Specialist Data & AI Solutions Architect within our Global Financial Services (GFS) organisation, you'll work with a focused portfolio of strategic accounts across EMEA and APJ, designing the data foundations, governance frameworks, and AI-ready architectures that enable tier-one financial services customers to move from experimentation to production-grade agentic and generative AI systems at enterprise scale. This is not a high-volume role. You'll go deep, not wide — building lasting technical relationships with a small number of the most significant financial services organisations in the world. You'll act as a strategic technical partner, helping these customers build the data infrastructure that underpins their AI ambitions: from unified data platforms and real-time feature stores through to the retrieval, grounding, and orchestration layers that agentic systems depend on. You'll combine deep expertise in data engineering, analytics, and AI/ML with an understanding of the financial services landscape to translate complex challenges into elegant, scalable cloud solutions — navigating regulatory requirements, data sovereignty constraints, legacy environments, and multi-regional complexity along the way. This role sits at the intersection of two accelerating trends: the modernisation of financial services data platforms, and the emergence of agentic AI systems that require those platforms to be well-governed, real-time, and semantically rich. You will help customers connect these two agendas into a single coherent strategy. Key job 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 A day in the life You'll join a focused, high-calibre group of specialist Solution Architects supporting the world's most important financial services customers. The team operates across regions on deeply technical, strategically significant engagements — solving problems that don't have off-the-shelf answers. Day-to-day, you'll design data platforms that underpin agentic AI workloads, review retrieval and grounding