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AI Solution Architect (Agentic & Autonomous Systems)

ZipRecruiter

London

Hybrid

GBP 70,000 - 120,000

Full time

10 days ago

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Job summary

A leading tech company seeks a deeply technical AI Solution Architect to design and deliver autonomous agentic systems for financial and retail sectors. This role involves integrating cutting-edge AI technologies and optimizing cloud applications for large-scale operations, requiring advanced expertise and an innovative mindset.

Qualifications

  • Deeply technical knowledge of AI/ML system design.
  • Experience with distributed agentic systems and event-driven architectures.
  • Strong proficiency in the JavaScript ecosystem.

Responsibilities

  • Architect agentic systems using LLMs in enterprise cloud environments.
  • Design modular, event-driven architectures for scalable workflows.
  • Lead full-stack interface implementations using modern frameworks.

Skills

AWS
JavaScript
TypeScript
ML integration
Event-driven systems

Education

5+ years in enterprise solution architecture

Tools

Docker
Kubernetes
Terraform

Job description

Job Description

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- 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
  • 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 (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
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