Financial Services, Legal, Professional ServicesIndustries
Requirements
Must be based in the UK for fully remote work
Experience in defining and driving enterprise platform architecture strategy
Expertise in cloud-agnostic design principles across AWS and Azure
Knowledge of architecting scalable infrastructure for autonomous AI agents, including orchestration, communication protocols, and execution environments
Proficiency in implementing Model Context Protocol (MCP) and Agent-to-Agent (A2A) standards
Strong background in embedding security controls, zero-trust principles, and defense-in-depth strategies
Familiarity with compliance frameworks such as SOC2, ISO27001, GDPR, and industry-specific requirements
Skills in designing for high availability (99.9%+ uptime), low latency (<2s API response times), and horizontal scalability
Ability to guide solution architects and work closely with technical teams
Responsibilities
Establish and evolve the enterprise platform architecture strategy, ensuring alignment with business objectives and regulatory requirements
Represent the company’s technical capabilities to enterprise clients, partners, and at industry events; publish technical content and contribute to architectural standards
Drive cloud-agnostic design principles across AWS and Azure, ensuring portability and optimization for different deployment tiers
Establish and enforce technical standards, design patterns, and best practices across all engineering teams
Own major architectural decisions affecting platform scalability, security, performance, and compliance
Architect scalable infrastructure for autonomous AI agents, including orchestration, communication protocols, and execution environments
Implement Model Context Protocol (MCP) and Agent-to-Agent (A2A) standards, ensuring interoperability and secure agent communication
Design abstraction layers for multiple LLM providers (OpenAI, Anthropic, Azure OpenAI, AWS Bedrock), enabling flexible model selection and cost optimization
Establish frameworks for AI safety, ethics, model monitoring, and regulatory compliance specific to AI systems
Embed security controls at every architectural layer, implementing zero-trust principles and defense-in-depth strategies
Architect solutions meeting SOC2, ISO27001, GDPR, and other compliance requirements
Design data residency and processing controls for multi-region deployments and client-specific compliance requirements
Establish comprehensive logging, monitoring, and audit trail capabilities across all deployment tiers
Define service boundaries, API contracts, and integration patterns for loosely coupled, independently deployable services
Design secure tenant isolation for SaaS deployments while enabling single-tenant options for enterprise clients
Architect for high availability (99.9%+ uptime), low latency (<2s API response times), and horizontal scalability
Define data management strategies including database per service patterns, event sourcing, and data pipeline architectures
Guide solution architects on customer-specific implementations and enterprise integrations