Available for new contracts in 2026

Jerry Turner

Forward Deployed AI Engineer | Technical Architect

Forward deployed AI engineer with 15+ years building production systems for government and enterprise. Currently running a RAG pipeline handling 15K daily queries across 450,000 documents at 98% retrieval accuracy. BPSS cleared, Cambridge HCI certified.

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Core Expertise

Forward Deployed Engineering
Multi-Agent AI Systems
Knowledge Graph & RAG
Neo4j GraphRAG
Government & Defence
Security Cleared (BPSS)
Forward Deployed Engineering
Multi-Agent AI Systems
Knowledge Graph & RAG
Neo4j GraphRAG

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BPSS Held

SC Eligible

Security Clearance

UK security cleared with BPSS held and SC eligibility. Experienced in government contracts, secure environments, and on-premise deployments for sensitive sectors.

Multi-Agent AI Systems95%
GraphRAG & Neo4j92%
RAG Architecture90%
Government & Defence88%
Actively Contracting

Core Capabilities

Specialist in agentic AI systems, knowledge graphs, and enterprise RAG architectures. 15+ years building production systems for government and regulated industries.

2010
2025 · Now
15+ Years

View AI Context

Explore the detailed context that powers my AI features—challenges faced, decisions made, and outcomes achieved across each role.

From multi-agent orchestration to knowledge graph architecture, I deliver production AI systems for complex enterprise environments.

AI Systems Evaluation
98%
Retrieval Accuracy

I own each engagement end to end: scoping on-site with stakeholders, translating ambiguous requirements into technical architecture, writing production Python/FastAPI code, and shipping into secure environments. From multi-agent orchestration to knowledge graph architecture.

10+
AI Systems Built
110+
Agents built with Anthropic, Pydantic, Vercel & LangChain SDKs
Multi-Agent Architecture

My Five-Agent System

Production multi-agent systems require specialised agents working in concert. This architecture powers the AI solutions I build for government and enterprise clients.

10+

AI Systems Built

110+

Separate agents created using Anthropic SDK, Pydantic SDK, Vercel SDK, and LangChain SDK

Five-Agent Architecture

User QueryNatural LanguageOrchestrator AgentTask decompositionAgent routingResponse synthesisQuality validationResearch AgentWeb searchDocument retrievalData enrichmentKnowledge GraphNeo4j queriesTruth groundingRelationship mappingMemory AgentSession contextLong-term recallUser preferencesFormat AgentDocument generationReport structuringOutput formattingResponseSynthesised OutputAgents communicate bidirectionally via the Orchestrator for coordinated task execution

Intelligent Orchestration

Central coordination with task decomposition, routing, and response synthesis

Knowledge Graph Grounding

Neo4j-backed truth grounding ensures factual accuracy and relationship awareness

Persistent Memory

Session context and long-term recall for coherent, context-aware interactions

Production-Ready Output

Format agents generate polished documents, reports, and structured data

Explore My Agent Technology

Discover how my multi-agent architecture revolutionises enterprise knowledge retrieval

Live Demonstration

See the AI Agent Cluster in Action

Let me demonstrate how our AI agent works and how the AI agent clusters are created.

How It Works

01

AI Creates Your Solution

Our AI analyses your business needs and generates a tailored automation solution.

02

Identifies Requirements

Automatically maps your ideal customer profile and removes unnecessary complexity.

03

Generates Full Report

Receive a comprehensive report with actionable insights and implementation steps.

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Request Access — Contact me for demonstration access, recruiter enquiries, or partnership opportunities.

How I Work – From discussion to delivery.

My engagement model is straightforward, collaborative, and designed to deliver production-ready solutions. I work embedded with your team, shipping code that works.

Current Phase

Initial Discussion

We start with a focused conversation about your AI challenge, existing systems, and project goals. I assess fit, clarify scope, and identify the key technical questions we need to answer.

Recent Experience

Government. Defence. Enterprise.

I build production AI systems that work in the real world. From government contracts requiring security clearance to startup MVPs, I deliver solutions that scale.

BPSS cleared · SC eligible

IDE Systems

Forward Deployed AI Engineer

March 2025 – Present
98% retrieval accuracy | 15K daily queries

Deployed directly with a UK government customer to scope, design, and deliver a production RAG system handling 15K daily queries across 450K documents at 98% accuracy with sub-200ms response times. Designed hybrid architecture pairing vector-based RAG with Neo4j GraphRAG for relationship queries across 500K+ entities.

LangGraphNeo4jGraphRAGPythonFastAPILlamaIndex

Byte-Rocket Ltd

Founding Engineer & Forward Deployed Lead

January 2025 – Present
10K+ monthly users | 99.9% uptime

Founded and lead a team of 4 engineers delivering AI solutions directly into enterprise client environments across regulated sectors. Deployed autonomous AI agent workflows using LangGraph serving 10K+ monthly users at 95% task completion.

LangGraphMulti-Agent AIDockerKubernetesREST APIs

MyGreenDoor.io

AI Solutions Lead

November 2021 – December 2024
500K+ records | University partnership

Embedded with University of Bristol data science faculty to turn academic AI research into working commercial products. Built AI-driven analytical tools processing 500K+ records with GDPR-compliant data handling throughout.

Machine LearningPythonLangChainData AnalyticsGDPR

Netgem

Director of Business Operations & Platform Delivery

November 2018 – October 2021
40% revenue increase | 3,000+ daily sales

Led end-to-end platform deployment for a Tier 1 telecom provider, landing a five-year multi-million-pound contract and boosting revenue by 40%. Embedded with Vodafone's technical and commercial teams.

Platform DeliverySystem IntegrationVodafone

Siemens / BBC Technology

Systems Engineering Director

2007 – 2008
35 engineers | BBC iPlayer platform

Led a team of 35 engineers delivering BBC iPlayer platform upgrades, working directly with BBC editorial and technology teams. Built infrastructure handling millions of concurrent streams.

Systems EngineeringPlatform ArchitectureBroadcast Infrastructure

Frequently Asked Questions

Common questions about working with me on AI and agent development projects.

I hold BPSS (Baseline Personnel Security Standard) clearance and am eligible for both SC (Security Check) and DV (Developed Vetting) clearance. This means I can:

  • Work on government and defence contracts immediately
  • Access sensitive environments and secure facilities
  • Handle classified information up to OFFICIAL-SENSITIVE
  • Undergo SC or DV vetting if required for your project

I'm immediately available for contract work. I'm London-based and operate outside IR35. My typical engagement model is:

  • Full-time embedded (5 days/week) for intensive delivery phases
  • Part-time (2-3 days/week) for advisory or support roles
  • Flexible arrangements for specific project milestones

I maintain a single client focus during engagements to ensure quality delivery.

Yes, I work both on-site and remotely depending on project requirements:

  • On-site – Available for secure environments, government facilities, and team integration
  • Hybrid – Mix of on-site collaboration and remote focused work
  • Remote – For projects that don't require physical presence

I'm based in the UK and can travel nationally as needed.

I operate through my limited company and work with various contract arrangements:

  • Day rate – Standard contractor arrangement, outside IR35 preferred
  • Fixed price – For well-defined deliverables with clear scope
  • Retainer – For ongoing advisory or support relationships

I'm flexible on commercial arrangements and can work with your procurement process.

Engagement length varies based on project scope:

  • Short (2-4 weeks) – Architecture review, proof of concept, technical assessment
  • Medium (1-3 months) – MVP delivery, system integration, agent development
  • Long (3-12 months) – Full system build, team augmentation, ongoing support

I prefer defined milestones with clear outcomes rather than open-ended arrangements.

Knowledge transfer happens throughout the engagement, not just at the end:

  • Comprehensive documentation for all code and architecture
  • Pair programming and code reviews with your team
  • Architecture decision records (ADRs) for key choices
  • Handover sessions and runbooks before engagement end

My goal is to leave your team fully capable of maintaining and extending the work.