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 level
- Mid-Senior level
Employment type
Job function
- Job function
- Engineering, Information Technology, and Analyst
- Industries
- Retail, IT Services and IT Consulting, and Software Development
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