At a Glance
- Tasks: Create innovative AI solutions and collaborate with teams to transform real estate insights.
- Company: Join JLL, a leader in real estate services and technology.
- Benefits: Competitive salary, career growth, and a supportive work environment.
- Other info: Dynamic role with opportunities for creativity and collaboration.
- Why this job: Shape the future of real estate with cutting-edge AI technology.
- Qualifications: 1-4 years in software engineering or related fields; strong web development skills.
The predicted salary is between 63000 - 77000 £ per year.
JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world-class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.
AI Solutions Associate - Junior–Mid Level
Research Innovation is a specialist research and development team embedded within JLL Research and Strategy. We are responsible for developing new applications, tools and workflows that transform both how our 500+ researchers produce high-quality, data-rich insights; as well as how these insights are consumed by our business and clients.
We're looking for an AI Solutions Associate who combines technical skill with creative problem-solving. This role is suited to someone who can inspire our colleagues and teams about the 'art of the possible' with our technology and data, and support them in adopting and integrating our platform capabilities into their own products and services. This is a hands-on, highly collaborative, business-facing role for someone who enjoys creating, building, designing and demoing, along with writing production quality code.
Responsibilities:
- Build compelling demos, prototypes, and proofs of concept that showcase what our solutions can do.
- Approach business and organisational problems inventively, finding novel ways to apply our solutions to use cases teams haven't yet imagined.
- Work directly with product and engineering teams across the business to integrate our solutions into their applications.
- Provide hands-on integration support, including sample code, libraries, documentation, troubleshooting, and best-practice guidance.
- Adapt solutions creatively to fit varied technical environments and constraints, rather than forcing a one-size-fits-all approach.
- Present demos and walkthroughs that bring ideas to life for technical and non-technical audiences alike.
- Develop reusable integration patterns, starter kits, and examples that make adoption easier.
- Work directly with users and partner teams to support them in leveraging our services and tools.
- Gather feedback from integrating teams and feed it back to shape our roadmap and priorities.
- Stay current with AI and web technologies, and actively experiment with new tools to keep demos and guidance fresh.
Requirements:
- 1–4 years' experience in software engineering, AI Solutions Associateing, or a similar hands-on technical role.
- Solid foundation in web development (JavaScript/TypeScript, APIs, modern frameworks).
- Familiarity with AI-powered development – LLM APIs, prompt engineering, or basic RAG concepts.
- A demonstrated flair for creative problem-solving - professional experience, side projects, or examples of unconventional solutions all count.
- Strong communication skills, with the ability to explain technical concepts clearly and make ideas tangible for varied audiences.
- A collaborative, service-oriented mindset. You're passionate about seeing other teams succeed.
- Comfortable with ambiguity and juggling multiple projects at once.
- (Optional) experience with demos, developer relations, pre-sales engineering, or creative technology work.
Location: On-site – London, GBR
AI Solutions Associate in London employer: Jones Lang LaSalle, Inc.
At JLL, we pride ourselves on fostering a dynamic and inclusive work environment where every employee is empowered to thrive. As a Facilities Coordinator in London, you will benefit from our commitment to professional growth, innovative practices, and a culture that prioritises safety and collaboration. Join us to be part of a team that not only shapes the future of real estate but also values your contributions and supports your career journey.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solutions Associate 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 Jones Lang LaSalle, Inc. 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 Jones Lang LaSalle, Inc..
✨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 Jones Lang LaSalle, Inc..
✨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 Jones Lang LaSalle, Inc. 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 AI Solutions Associate 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 Jones Lang LaSalle, Inc..
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Jones Lang LaSalle, Inc. 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 Jones Lang LaSalle, Inc.
✨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 Jones Lang LaSalle, Inc. 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.
