AI Solution Architect (Agentic & Autonomous Systems)

AI Solution Architect (Agentic & Autonomous Systems)

AI Solution Architect (Agentic & Autonomous Systems)

Build Production-Grade Agentic Architectures for Global B2C Platforms

We’re 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, optimizing 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 behavior
• 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
• 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
• Compensation: Market rates or six-figure salary

• Location: London EC4

  Hybrid (some remote)

• Eligibility: Must have UK working rights

Seniority level

• Seniority levelMid-Senior level

Employment type

• Employment typeContract

Job function

• Job functionEngineering, Information Technology, and Analyst
• IndustriesRetail, IT Services and IT Consulting, and Software Development

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• 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
• 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
• Compensation: Market rates or six-figure salary

• Location: London EC4

  Hybrid (some remote)

• Eligibility: Must have UK working rights