AI Solution Architect (Agentic & Autonomous Systems)

Build Production-Grade Agentic Architectures for Global B2C Platforms. We are seeking a deeply technical AI Solution Architect to lead the design and delivery of agentic AI systems across financial and retail B2C enterprises. You’ll architect large-scale AI agents that operate autonomously within production environments, integrating LLMs, multi-agent workflows, cloud-native infrastructure and real-time API interfaces. Experience translating ML models into resilient cloud applications, optimising for performance, observability and secure operations at scale.

Core Responsibilities

• Architect distributed agentic systems using LLMs and tool-using AI components across enterprise cloud environments.
• Design and implement modular, event-driven architectures (e.g., Lambda + SQS/SNS + Step Functions) to enable scalable agent workflows.
• Develop and manage API layers (REST, GraphQL, WebSockets) to orchestrate intelligent interactions between agents, models and services.
• Lead implementation of full-stack interfaces and services using Node.js, TypeScript, React.js, Express, Next.js.
• Integrate ML models and embeddings into production pipelines using AWS SageMaker, Bedrock or OpenAI APIs.
• Build support systems for autonomous agents including memory storage, vector search (e.g., Pinecone, Weaviate) and tool registries.
• Enforce system-level requirements for security, compliance, observability and CI/CD.
• Drive PoCs and reference architectures for multi-agent coordination, intelligent routing and goal-directed AI behaviour.
• Contribute to internal standards for scalable AI deployments, model governance, and fail-safe operations.

Must-Have Skills

• 5+ years in enterprise solution architecture with emphasis on AI/ML system design.
• Deep hands-on experience with AWS: Lambda, API Gateway, SageMaker, DynamoDB, ECS, Step Functions.
• Expertise in JavaScript / TypeScript ecosystem (Node.js, React.js, Express, Next.js).
• Strong understanding of LLM integration, prompt chaining and tools like LangChain or Semantic Kernel.
• Experience deploying containerized services using Docker, Kubernetes, or ECS Fargate.
• Familiarity with agent tool-use patterns, function calling, and autonomous workflow design.
• Proficient in designing asynchronous, event-driven systems and pub/sub messaging.
• API-first mindset with deep knowledge of REST, GraphQL, and streaming protocols.
• Infrastructure as Code using Terraform, AWS CDK or similar.
• Experience with secure cloud deployments and production ML model integration.

Bonus Skills

• Applied work with multi-agent systems, tool orchestration, or autonomous decision-making.
• Experience with vector databases (Pinecone, Weaviate, FAISS) and embedding pipelines.
• Knowledge of AI chatbot frameworks (Rasa, BotPress, Dialogflow) or custom LLM-based UIs.
• Awareness of AI governance, model auditing, and data privacy regulation (GDPR, DPA, etc.).
• Familiarity with reinforcement learning, retrieval-augmented generation (RAG), or dynamic reasoning workflows.

Offer Details

• Role Type: Contract (outside IR35) or Permanent.
• Compensation: Market rates or six-figure salary.
• Location: London EC4 | Hybrid (some remote).
• Start Date: August 2025 (flexible).
• Eligibility: Must have UK working rights.