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# AI Solution Architect (Agentic & Autonomous Systems)

- **Company:** Staffworx Ltd
- **Location:** London, United Kingdom (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Encodings, Continuous Integration, Amazon DynamoDB, Machine Learning, Node.Js, OpenAI, Next.js, Search Technologies, Systems Integration, TypeScript, WebSocket, Workflow Management Systems, Reinforcement Learning, AWS Cdk, Pinecone, Cloud Platform System, Chatbots, ReactJS, Large Language Models, Multi-Agent Systems, Agentic-AI, Event Driven Architecture, Kubernetes, Weaviate, AWS Fargate, Live Streaming, Graphql, FAISS, Invoking Functions, Api Gateway, Restful APIs, Amazon Simple Queue Service (SQS), Terraform, Semantic Kernel, Docker
- **Published:** November 14, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/ai-solution-architect-agentic-autonomous-systems/56411673

## About the Role

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

## Description

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