Job Description

Client: Our client is a British bank, one of the largest finance companies in the world. The bank was founded three centuries ago, and today its assets are estimated at trillions of US dollars.

Project overview: The Senior Solution Architect will play a key role in shaping architecture, governance, and implementation of GenAI solutions across multiple banking use cases such as customer service automation, developer productivity, risk & compliance workflows, and internal operations. The role involves close collaboration with engineering teams, security, cloud platform teams, and business stakeholders, ensuring solutions meet regulatory, scalability, and security requirements.


Position overview: We are seeking a Senior Solution Architect with deep expertise in AWS cloud architecture and Amazon Bedrock, capable of designing end-to-end enterprise solutions and guiding teams from proof of concept to production-grade deployments in a regulated environment.

Technology stack: Cloud Platform: AWS GenAI & Agentic AI: Amazon Bedrock, Bedrock AgentCore, foundation models (Anthropic, Amazon, Meta, etc.) Architecture: Microservices, event-driven architectures, serverless Security & Governance: IAM, KMS, VPC, encryption, audit logging, compliance controls Data & Integration: APIs, enterprise data platforms, structured & unstructured data sources DevOps: CI/CD pipelines, Infrastructure as Code (Terraform / CloudFormation)


Responsibilities: Design and own end-to-end solution architecture for AWS and Bedrock-based GenAI platforms Lead architecture decisions for Agentic AI use cases, including orchestration, tool integration, and runtime patterns Ensure solutions align with security, compliance, and governance standards Partner with engineering teams to guide implementation, integration, and production readiness Review and optimize architectures for scalability, resilience, performance, and cost efficiency Act as a trusted advisor to stakeholders, translating business needs into technical solutions Support PoCs, pilots, and enterprise rollouts, including architecture documentation and reviews


10+ years of experience in solution or enterprise architecture Strong hands-on expertise with AWS services and cloud-native design patterns Proven experience designing or implementing GenAI solutions using Amazon Bedrock Solid understanding of Agentic AI concepts, LLM orchestration, and AI integration patterns Experience working in regulated environments (banking or financial services preferred) Strong knowledge of security, IAM, data privacy, and compliance in cloud environments Excellent stakeholder communication and technical leadership skills


Nice to have: Experience with open-source AI frameworks (LangChain, LangGraph, LlamaIndex, etc.) Familiarity with enterprise data platforms and analytics Ability to mentor teams and influence architecture standards Strong documentation and governance mindset * Comfortable working in large, complex enterprise ecosystems