Specialist Solutions Architect Database, Data & AI, AWS Specialist & Partner Industries Organization (ASPI), Global Financial Services (GFS)

Shape the future of data and AI for the worlds largest and most complex financial institutions. As a Specialist Data & AI Solutions Architect within our Global Financial Services (GFS) organisation youll 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. Youll go deep not wide building lasting technical relationships with a small number of the most significant financial services organisations in the world. Youll 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.

Youll 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
Youll join a focused high-calibre group of specialist Solution Architects supporting the worlds most important financial services customers. The team operates across regions on deeply technical strategically significant engagements solving problems that dont have off-the-shelf answers. Day-to-day youll design data platforms that underpin agentic AI workloads review retrieval and grounding architectures advise on governance models that satisfy regulators while enabling AI innovation and help customers connect existing data investments to the AI outcomes their leadership demands. We value depth intellectual curiosity and a genuine desire to help customers succeed.

About the team
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- Masters degree or above in computer science engineering mathematics or equivalent or Bachelors 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

- Experience working with Data & AI related technologies including but not limited to AI/ML GenAI Analytics Database and/or Storage
- PhD in computer science machine learning engineering or related fields or experience with AWS services including S3 Redshift Sagemaker EMR Kinesis Lambda and EC2
- Knowledge of general AI tools
- Knowledge of data engineering pipelines cloud solutions ETL management databases visualizations and analytical platforms
- Experience with data analytics platforms (Power BI Python SQL Tableau) or experience working with large-scale data mining and reporting tools (examples: SQL MS Access Essbase Cognos) and other financial systems (examples: Oracle SAP Lawson JD Edwards)
- Experience developing deploying and managing AI products at scale
- - Experience with data governance lineage and quality frameworks in regulated industries particularly financial services

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