Specialist Data & AI SA, AWS Specialist & Partner Industries Organization (ASPI), Global Financial Services (GFS)
AWS EMEA SARL (UK Branch)•4h ago
United KingdomOnsiteFull-timeMid Level2+ yrs exp
Top focus
Aws EngineerSolutions ArchitectVp DataData Viz SpecialistData Analyst
- 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
- 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
- orchestration layers that agentic systems depend on. You'll combine deep expertise in data engineering, analytics
- 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
- multi-regional complexity along the way. This role sits at the intersection of two accelerating trends: the modernisation of financial services data platforms
- the emergence of agentic AI systems that require those platforms to be well-governed, real-time
- 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
- resilience requirements of tier-one financial institutions - Guide customers on building AI-ready data estates: quality, lineage, governance, semantic layers
- 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
- human-in-the-loop guardrails — with attention to auditability, explainability
- compliance - Collaborate with account teams, GenAI specialists
- 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
- 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
- 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 architectures, advise on governance models that satisfy regulators while enabling AI innovation
- help customers connect existing data investments to the AI outcomes their leadership demands. We value depth, intellectual curiosity
- a genuine desire to help customers succeed. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path
- includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home
- is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
- Master's degree or above in computer science, engineering, mathematics or equivalent
- 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
- Big Data EMR/EC2/Glue/Lambda
- 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
- experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda
- 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)
- 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
- quality frameworks in regulated industries — particularly financial services Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability
- other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Required skills
data engineeringanalyticsAIMLcloud solutionsdata architecturegovernancereal-time pipelinesfeature platformsknowledge graphsvector storesdata platformsdata infrastructureagentic AIfinancial services