Lead AI/Agent Architect

Job not on LinkedIn

🕒 July 9

🇬🇧 United Kingdom – Remote

⏳ Contract/Temporary

🟠 Senior

🤖 AI Engineer

👻 Ghost score 24%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Future Works

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Future Works is a company that specializes in providing digital transformation solutions for industries looking to enhance their business operations using AI-driven technology and custom software. They focus on a range of sectors including real estate, aerospace, energy and climate, delivering innovative solutions that aim to modernize systems, streamline operations, and improve market positions. Future Works offers next-generation digital transformation, innovation and R&D services, and strategic branding. They pride themselves on their proprietary expertise and a strong blend of technology and design. Their services empower companies to succeed in a rapidly evolving technological landscape.

📋 Description

• As the Lead AI/Agent Architect, you own the technical track. • You will design the agent orchestration model, the tool-use architecture, and the human-in-the-loop protocol, and you will stand up the secure sandbox environment the system runs against. • You will turn a fragmented, document-heavy operational workflow into a secure, auditable, and extensible agent system, and you will validate exactly where automation ends and expert judgment begins. • You are accountable for an architecture that processes a live transaction scenario end to end with human intervention only at documented gates, and that extends to adjacent workflows without a rebuild. • Own the orchestrator agent that holds the deal state machine and routes work to one specialist agent per stage, defining stage handoff protocols and cross-stage integration. • Design the typed tool layer as the integration seam that binds to sample data in the sandbox and to live systems in production, so the move to production is a connector change rather than a rebuild. • Define the mandatory approval gates and review checkpoints, ensuring the agent never executes binding legal or financial actions without broker confirmation. • Own the sandbox data model and test scenarios, and define the security, compliance, and data-governance approach.

🎯 Requirements

• 8+ years in software engineering, AI/ML, or solutions architecture, with a strong track record of designing and shipping production-grade systems, and recent hands-on experience architecting LLM or multi-agent systems. • Agent Systems Expertise: Deep, hands-on experience with agent orchestration, tool and function calling, state management, and retrieval, ideally in production rather than prototypes. • Technical Breadth: Expert Python (or equivalent), API and connector design, typed tool and interface design, and modern data stores such as PostgreSQL. • Systems Thinking: Proven ability to design end-to-end solutions connecting data pipelines, model services, business logic, and user-facing applications under real operational constraints. • Human-in-the-Loop & Governance: Experience designing guardrails, approval gates, auditability, and traceability for high-stakes, document-heavy domains where decisions must be explainable and reviewable. • Domain Knowledge: Previous experience in commercial real estate, legal, financial services, or another structured, document-driven transaction domain is highly preferred. • Path to Production: Practical experience taking a sandbox or prototype system to production through connector and tool abstraction, including performance, monitoring, deployment, and rollback. • AI-Native Workflow: Comfort utilizing LLM code assistants and agentic engineering to improve speed, quality, and architectural clarity. • Agile Execution: Ability to work effectively in fast, hypothesis-driven delivery cycles where the focus is on proving value quickly without creating unnecessary technical debt.

🏖️ Benefits

• Work from anywhere, forever - We are a fully remote and global team. We trust you to manage your time and energy to deliver exceptional results. • Connect deeply - We gather for immersive, all-expenses-paid company retreats in unique locations to connect, learn, and grow together. • Share in the upside - A competitive compensation package including equity, bonuses, substantial participation in company profits with a clear growth path to C-Level leadership based on performance.