Specialist Solutions Architect - Database, Data & AI

AmazonWebServices; Greater London; On-site; GBP 63,000 - 103,000; Full time

Job summary

AWS in the United Kingdom is seeking an experienced data and AI architect to lead data architectures, governance, and platform design for large financial services engagements. You will guide AI-ready data estates, real-time pipelines, and regulatory-compliant RAG patterns across multi-jurisdictional data ecosystems.

You will engage with executive stakeholders, shape long-term strategies, and publish thought leadership while aligning data investments with measurable AI value outcomes.

Qualifications

• Master's degree or above in CS/engineering/math or a related field.
• Experience in IT development or consulting in software or Internet industries.
• Experience in software/cloud/systems/infrastructure/security/data analytics domains.
• Experience with relational DBMS, Elastic-Search, and Big Data tools or ML deployment.
• Experience communicating with executive stakeholders and clients.
• Experience with Data & AI tech including AI/ML, GenAI, analytics, storage.
• PhD or AWS service experience (S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, EC2).
• Knowledge of general AI tools.
• Knowledge of data engineering pipelines, ETL, databases, visualizations, analytics platforms.
• Experience with Power BI, Python, SQL, Tableau or large-scale data mining/tools.
• Experience developing, deploying, and managing AI products at scale.
• Experience with data governance, lineage, and quality in regulated industries.

Responsibilities

• Serve as trusted technical advisor for data and AI strategy in Global FS accounts.
• Design data architectures like lakehouses, knowledge graphs, vector stores, and real-time pipelines.
• Guide customers on AI-ready data estates including quality, lineage, governance, and retrieval frameworks.
• Advise on agentic system architecture including RAG, multi-agent orchestration, and guardrails.
• Collaborate with account teams and GenAI specialists to shape long-term AI value strategies.
• Engage at senior technical and executive levels translating complex concepts to business outcomes.
• Develop reference architectures for regulatory-compliant RAG and multi-jurisdictional data mesh.
• Publish thought leadership content on data foundations for AI and agentic design.
• Partner with service teams to influence roadmap priorities based on customer needs.
• Stay current on trends in data architecture, foundation models, and agentic AI frameworks.
• Design data platforms that underpin agentic AI workloads and governance models.
• Review retrieval and grounding architectures.
• Advise on governance models satisfying regulators while enabling AI innovation.
• Help customers connect data investments to AI outcomes leadership demands.

Skills

Advanced degree equivalency

IT development/consulting

Cloud/software systems

Data infrastructures & ML

Executive communication

Data & AI technologies

AWS services proficiency

AI tools knowledge

Data engineering pipelines

Analytics platforms (Power BI/Tableau)

AI products at scale

Data governance & quality in regulated

Education

Master's degree in CS/engineering/math

PhD in CS/ML/engineering or AWS experience

Tools

S3

Redshift

Sagemaker

EMR

Kinesis

Lambda

EC2

OpenSearch

Oracle

SAP

Power BI

Tableau

SQL

Job description

Salary: £63,000 - 103,000 per year

Requirements:

• 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 such as software development, cloud computing, systems engineering, infrastructure, security, networking, or data & analytics
• Experience with data infrastructures such as relational analytic DBMS, Elastic-Search, and Big Data EMR/EC2/Glue/Lambda, or experience 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 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 such as Power BI, Python, SQL, Tableau, or experience working with large-scale data mining and reporting tools and other financial systems
• Experience developing, deploying, and managing AI products at scale
• Experience with data governance, lineage, and quality frameworks in regulated industries, particularly financial services

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 such as lakehouses, knowledge graphs, vector stores, feature platforms, and real-time pipelines that form the foundation for agentic and generative AI, tailored to regulatory, sovereignty, and resilience requirements
• Guide customers on building AI-ready data estates, including quality, lineage, governance, semantic layers, and retrieval frameworks that enable trustworthy AI grounding at scale
• Advise on agentic system architecture, including 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 such as regulatory-compliant RAG, multi-jurisdictional data mesh, real-time decisioning, and secure agent-to-data connectivity
• Publish thought leadership content including whitepapers, blogs, and workshops on data foundations for AI and agentic system design in financial services
• Partner with service teams 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
• 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

Technologies:

• Agentic AI
• AI
• AWS
• Lambda
• Redshift
• Big Data
• Cloud
• EC2
• ETL
• Machine Learning
• Power BI
• Python
• RAG
• SQL
• Security
• Tableau
• OpenSearch
• Architect
• Support
• Oracle
• SAP
• Web

More:

We are AWS, the worlds most comprehensive and broadly adopted cloud platform, serving customers from innovative startups to Global 500 companies. You will join a focused, high-calibre group of specialist Solution Architects supporting the worlds most important financial services customers across EMEA and APJ on deeply technical, strategically significant engagements. We value diverse experiences, inclusion, mentorship, career growth, and work/life balance, and we offer a collaborative culture that encourages curiosity and continuous learning.

last updated 36 week of 2026