GenAI Architect

DeepRec.ai; Greater London; Remote; GBP 80,000 - 120,000; Full time

Job summary

A tech company is seeking a GenAI Architect to lead the design and deployment of multi-agent systems for a next-gen AI platform catering to regulatory automation. You will focus on building autonomous AI agents to automate compliance workflows. This remote-first role requires expertise in developing GenAI systems and using frameworks like LangChain and Autogen.

Responsibilities

• Designing end-to-end GenAI architecture including RAG pipelines, graph-based memory, vector search, and LLM agent orchestration.
• Deploying solutions using frameworks like LangChain, Autogen, LlamaIndex, LangGraph.
• Driving AI strategy and performance evaluation with MLOps tools (Langsmith, MLflow, SageMaker).
• Leading system integration, roadmap definition, and stakeholder collaboration.

Tools

LangChain

Autogen

LlamaIndex

LangGraph

MLOps tools

Langsmith

MLflow

SageMaker

Job description

Overview

Principal Recruitment Consultant | GenAI & ML Talent | Supporting Startups & Enterprises Across Switzerland & Europe

We are hiring on behalf of a client building a next-gen AI platform for regulatory automation. They’re urgently looking for a GenAI Architect to lead the design and deployment of multi-agent systems and integrate cutting-edge LLM capabilities into their SaaS product. You’ll be focused on designing autonomous AI agents that can reason over complex regulatory content and automate key compliance workflows for enterprise customers. This includes building out retrieval-augmented generation pipelines, memory layers, and orchestration logic for goal-directed agent behaviour. The role is remote-first (UK, Ireland, or Europe).

Core responsibilities

• Designing end-to-end GenAI architecture including RAG pipelines, graph-based memory, vector search, and LLM agent orchestration
• Deploying solutions using frameworks like LangChain, Autogen, LlamaIndex, LangGraph
• Driving AI strategy and performance evaluation with MLOps tools (Langsmith, MLflow, SageMaker)
• Leading system integration, roadmap definition, and stakeholder collaboration

You’ll work across product, engineering, and AI to bring scalable features into production. If you’ve built GenAI systems in production and enjoy working with advanced agent frameworks, I’d be happy to share more. If you\u2019re interested, respond with your most up-to-date resume/CV and I\u2019ll be in touch to discuss your profille.

Qualifications

Not specified in the posting.