AWS Architect (£800-£900 per day - 12 month contract) We're partnering with a leading global organisation in the financial data space to find a hands-on AWS Architect. This is a high-impact role focused on building a cutting-edge, cloud-native research environment for advanced analytics, quantitative research, and AI-driven innovation. If you thrive at the intersection of cloud architecture, data science platforms, and AI services, this is an opportunity to shape a next-generation research ecosystem used by top-tier data scientists and researchers. The Role As the AWS Architect, you will lead the end-to-end design and delivery of a scalable, secure, and highly connected research platform on AWS. This environment will empower teams to work with large, complex datasets and accelerate experimentation and insights. Key Responsibilities \* Architect and deliver a cloud-native research platform on AWS \* Design environments supporting Jupyter Notebooks and Amazon SageMaker \* Integrate Amazon Bedrock and emerging AI services to enhance research workflows \* Build scalable data access and connectivity frameworks for structured and unstructured datasets \* Develop Model Context Protocol (MCP) services to enable seamless data and notebook integration \* Implement semantic search and discovery capabilities (e.g. OpenSearch) \* Define best practices across architecture, security, and scalability \* Collaborate closely with engineering, data, and research stakeholders What We're Looking For \* Deep, hands-on AWS expertise (architect-level with strong delivery experience) \* Proven track record building data science platforms or research environments \* Strong grounding in data engineering principles (pipelines, governance, data access) \* Experience integrating AI/ML services, including Amazon Bedrock \* Ability to design and expose APIs/services for data and notebook interoperability \* Experience working in enterprise or regulated environments Nice to Have \* Exposure to emerging AWS AI tools (e.g. Amazon Q, Trainium, Bedrock Agents) \* Experience with agentic AI or MCP-compatible services \* Knowledge of OpenSearch or similar discovery tools \* Background in financial services, capital markets, or data-heavy industries Why Apply? \* Work on a greenfield, high-impact platform \* Collaborate with leading data scientists and researchers \* Shape the future of AI-enabled research environments \* Competitive compensation and flexible working