At a Glance
- Tasks: Lead the design of AI agent systems for high-value transactions and ensure seamless integration.
- Company: Future Works, an innovative AI-native professional services firm focused on operational transformation.
- Benefits: Work remotely, enjoy competitive pay, equity options, and immersive company retreats.
- Other info: Dynamic culture prioritising freedom, performance, and continuous learning.
- Why this job: Join a mission-driven team to revolutionise industries with cutting-edge AI technology.
- Qualifications: 8+ years in software engineering or solutions architecture with expertise in AI/ML systems.
The predicted salary is between 80000 - 100000 £ per year.
About Future Works
Future Works is a US-focused, AI-native professional services firm building operational AI and data systems. Our foundation beliefs are simple: optimization lowers need for resources, which increases sustainability and resilience. We are a team of "Time Benders" on a mission to collapse timelines to operational transformation of high footprint companies in energy, real estate, data and beyond. Together, we master velocity.
We achieve our mission by building flawless, AI-powered systems. Our technology is already far more advanced than that of boutique services firms, but we are only getting started and the road from here leads to becoming the world's best Service-as-Software company. Regardless of the specific role, our ideal candidate will always have a keen interest in building symbiotic human-AI systems both individually and for teams; high energy, high agency and a certain passion for bending time.
The Role
We are running an engagement to design and build an AI agent system that manages a complex, high-value transaction workflow for a large enterprise client, from initial engagement through close-out, across a multi-stage process.
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. Working closely with AI/ML Engineers, a Lead Business Analyst, and the Engagement Director, 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.
Key Responsibilities
- Agent Orchestration Design: 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.
- Tool-Use Architecture: Design the typed tool layer (template population, market-data query, financial analytics, clause extraction, document assembly) 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.
- Human-in-the-Loop Protocol: Define the mandatory approval gates (engagement agreement issuance, LOI execution, lease signature, invoice issuance) and review checkpoints (requirements-brief sign-off, short-list, negotiation positioning), ensuring the agent never executes binding legal or financial actions without broker confirmation.
- Secure Sandbox & Data Governance: Own the sandbox data model and test scenarios, and define the security, compliance, and data-governance approach: data residency, PII handling, audit logging, and a zero-retention policy with no training on client or deal data.
- Feasibility Validation: Validate the technical feasibility of the automation hypotheses stage by stage and translate the automation boundary findings into architecture.
- Extensibility by Design: Architect the system with explicit extensibility to Agency (Landlord Rep) workflow and other brokerage lines, producing a platform foundation rather than a point solution.
- Cross-Functional Technical Leadership: Lead and direct the AI/ML Engineers through the build phases, managing orchestration and cross-stage integration while engineers build per-stage capabilities in parallel.
What We're Looking For
Required Skills and Experience
- 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.
Our Culture & Benefits
We believe that breakthrough results are driven by breakthrough experiences. Our culture is built on a foundation of freedom, high performance, and our seven core values.
Our Core Values
- AI native - We use AI as a natural extension of our abilities to deliver faster, smarter, and better work.
- Delivering joy - We underpromise and overdeliver, creating delight for our clients and our team.
- Smooth & fast - We believe speed is the result of precision, flawless systems, and calm execution, not frantic effort.
- Selfless - We proactively make work easier for others and measure our success by the success of the team.
- Candid - We are direct, honest, and clear with each other, believing that transparent feedback is a gift.
- Pursuing excellence - We are obsessed with quality and empower each other to break through boundaries and set new standards.
- Ever evolving - We are relentlessly curious and improve every single week, sharing our learnings openly to elevate the entire organization.
Benefits & Perks
- 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.
Lead AI/Agent Architect in London employer: Future Works
Future Works is an exceptional employer that champions a culture of freedom, high performance, and continuous evolution. With the flexibility to work from anywhere and immersive company retreats, employees are empowered to connect deeply and grow together while enjoying competitive compensation packages that include equity and profit-sharing opportunities. As a Lead AI/Agent Architect, you will not only contribute to cutting-edge AI solutions but also have a clear path for career advancement in a supportive and innovative environment.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI/Agent Architect in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Future Works or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Future Works.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Future Works.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Future Works that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Lead AI/Agent Architect in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Future Works.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Future Works and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Future Works
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Future Works uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.