At a Glance
- Tasks: Design and build AI systems for property consultancy, enhancing workflows and data infrastructure.
- Company: Axo Consulting, a specialist property consultancy with a focus on innovation.
- Benefits: Competitive salary, performance uplift, hybrid work, and flexible hours.
- Other info: Join a lean team and collaborate closely with industry experts.
- Why this job: Make a real impact by applying your engineering skills in a unique property sector.
- Qualifications: Strong Python skills, experience with LLMs, and a background in data or software.
The predicted salary is between 60000 - 75000 £ per year.
Axo Consulting is a specialist property consultancy advising lenders, funders, and developers across cost consultancy, project monitoring, and development management. We have deep domain expertise, a clear commercial model, and a genuine problem worth solving: making expert human judgement faster, more consistent, and more scalable without diluting it.
We are looking for an AI Systems Architect to build the workflows, agents, and data infrastructure that sit underneath our practice. Vertical AI in professional services is only valuable when it is grounded in genuine domain knowledge. Most engineers building property AI are doing it at arm's length from the people who actually understand how a scheme fails, how a drawdown gets challenged, or what makes a cost plan credible. The intelligence in our system is human. Your job is to build everything around it that makes that intelligence go further, faster.
- Design and build AI agents for domain-specific QS tasks: drawdown analysis, cost benchmarking, risk signal extraction from documents.
- Build document ingestion and processing pipelines for contracts, cost plans, and monitoring reports.
- Design the data architecture: structured storage, vector databases, retrieval and context strategies.
- Build and maintain APIs connecting internal tooling, external data sources, and client-facing outputs.
- Evaluate and integrate proptech data feeds, planning portals, and market intelligence sources.
You will be embedded with surveyors who can explain exactly why a drawdown gets rejected, what makes a cost plan credible, and where the real risk in a scheme lives.
Joe Garner MRICS, Co-owner, has led residential development teams from planning through construction, delivering over 100 homes. He will be your primary domain partner, translating surveying problems into clear engineering briefs and giving you honest feedback on whether the output is actually useful.
Steve Cheesman, Co-owner, brings lender-side advisory experience and a focus on governance, auditability, and commercial robustness.
- Strong Python, comfortable with backend architecture and API design.
- Hands-on experience with LLMs and agent frameworks, in production or serious personal projects.
- Experience with data pipelines and handling both structured and unstructured data.
- CS, data, or software background, formal or entirely self-taught.
Salary: competitive, DOE plus performance uplift.
Location: Soho, W1, hybrid and flexi hours.
Culture: lean team, build things that ship.
Our services span pre-planning and land search, development management, cost consultancy, and independent project monitoring for funders and developers.
Tell us why a specialist property consultancy is an interesting place to deploy serious engineering talent.
Technical Architect - Java/AWS employer: Axo Consulting
Axo Consulting is an exceptional employer, offering a unique opportunity to work at the intersection of AI and property consultancy in the vibrant area of Soho, London. With a lean team culture that prioritises innovation and collaboration, employees are empowered to build impactful solutions while enjoying flexible working hours. The company fosters professional growth through direct engagement with industry experts, ensuring that your contributions are meaningful and aligned with real-world challenges.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Architect - Java/AWS
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even casual coffee chats. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and data architecture. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by diving deep into the company’s work and values. Understand their projects and be ready to discuss how your experience aligns with their needs. Tailoring your responses can make a huge difference!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. It shows initiative and enthusiasm, which are always a plus in our books.
We think you need these skills to ace Technical Architect - Java/AWS
Some tips for your application 🫡
Show Your Passion for AI and Property:When writing your application, let us see your enthusiasm for both AI and the property sector. Share any relevant projects or experiences that highlight your skills in these areas, and explain why you find this intersection exciting.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Technical Architect role. Highlight your experience with Java, AWS, and any relevant AI projects. We want to see how your background aligns with our needs, so don’t hold back!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to describe your skills and experiences, and avoid jargon unless it’s necessary. We appreciate a well-structured application that’s easy to read.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Axo Consulting
✨Know Your Domain
Before the interview, dive deep into the property consultancy sector. Understand the challenges faced by lenders and developers, and how AI can address these issues. This knowledge will help you connect your technical skills with the real-world problems the company is solving.
✨Showcase Your Technical Skills
Be ready to discuss your experience with Java, AWS, and data pipelines. Prepare specific examples of projects where you've designed APIs or built data architectures. Highlight any hands-on experience with LLMs and agent frameworks, as this will be crucial for the role.
✨Engage with Your Interviewers
The interviewers are experts in their field, so don’t hesitate to ask them questions about their work. Show genuine interest in their projects and how your role would fit into their vision. This will demonstrate your enthusiasm and willingness to collaborate.
✨Prepare for Problem-Solving Scenarios
Expect to tackle real-world scenarios during the interview. Practice articulating your thought process when faced with challenges like drawdown analysis or risk signal extraction. This will showcase your analytical skills and ability to apply your knowledge practically.
