Job Title
AI Architect at PACeHR
Location
London, UK (Hybrid: 3 days a week from office)
Role Overview
Principal AI Architect to lead the design and implementation of enterprise-scale AI solutions for financial services automation. Drive architectural decisions for LLM-based systems, agentic workflows, and intelligent document processing platforms serving private equity and fund management operations.
Key Responsibilities
* Design end-to-end AI solutions for private equity fund operations and financial automation.
* Architect scalable agentic AI frameworks using LangGraph, LangMem, and custom agent orchestration.
* Lead technical strategy for Azure OpenAI GPT-5 integration and advanced embedding-based retrieval systems.
* Design and implement advanced RAG architectures including hybrid search, query routing, and contextual retrieval.
* Establish multi-agent systems with Agent-to-Agent (A2A) communication protocols and Model Context Protocol (MCP).
* Architect Small Language Model (SLM) integration for specialized tasks and cost optimization.
* Design enterprise-scale solutions supporting millions of documents with sub-second query response times.
* Establish AI governance, model safety protocols, and regulatory compliance frameworks.
* Lead architectural reviews for distributed AI systems, microservices, and cloud-native deployments.
* Hands‑on development using Claude Code for rapid prototyping and agentic workflows.
* Drive architectural reviews for LlamaParse/Azure Document Intelligence integration.
* Design fault‑tolerant, high‑availability AI systems with automatic failover and load balancing.
* Establish comprehensive monitoring, observability, and performance optimization strategies.
* Mentor technical teams and establish AI engineering best practices using modern toolchains.
* Oversee model performance evaluation using LangGraph evals and DeepEval frameworks.
Required Qualifications
* 15+ years of experience in AI/ML architecture with 8+ years in enterprise AI solutions.
* Deep expertise in LLM architectures, prompt engineering, and agentic frameworks (LangGraph, LangMem).
* Hands‑on experience with Azure OpenAI GPT‑4/5, embedding models, and Azure cloud services.
* Strong background in Python, distributed systems, and enterprise architecture.
* Experience with Claude Code for agentic coding and AI‑powered development.
* Proven track record in financial services or regulatory compliance environments.
* Expert knowledge of RAG architectures, advanced RAG patterns, and vector database optimization.
* Experience with Small Language Models (SLM), Agent‑to‑Agent (A2A) communication, and Model Context Protocol (MCP).
* Proven ability to architect and scale AI solutions for enterprise workloads (1M+ documents, sub‑second response times).
Seniority level
* Mid‑Senior level
Employment type
* Contract
Job function
* Information Technology
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