At a Glance
- Tasks: Design and deploy real-world AI solutions that make a genuine business impact.
- Company: Prestigious international professional services organisation with a focus on innovation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Inclusive workplace celebrating diversity and offering excellent career advancement.
- Why this job: Join a dynamic team and influence AI adoption across a global organisation.
- Qualifications: Experience in developing AI solutions and strong Python skills required.
The predicted salary is between 63000 - 77000 £ per year.
AI Solutions Engineer £90,000 to £105,000 London Hybrid (3 days per week in office) Are you a hands-on AI Engineer who enjoys building and deploying real-world AI solutions rather than simply talking about their potential?
We are working with a prestigious international professional services organisation looking for an experienced AI Solutions Engineer to help design, develop and deploy secure, scalable AI solutions across the business.
This is an exciting opportunity to play a key technical role in delivering practical AI applications, leveraging Microsoft technologies, large language models (LLMs) and intelligent automation to transform business processes.
The Opportunity Opportunity to build and deploy AI solutions with genuine business impact.
Work with modern Microsoft AI technologies and enterprise platforms.
Influence the adoption of AI across an established international organisation.
Collaborate with technical teams and senior business stakeholders.
Key Responsibilities Design, develop, deploy and maintain production-ready AI applications.
Build AI-powered solutions for document analysis, summarisation, research and workflow automation.
Develop intelligent AI agents and integrate them with existing enterprise systems.
Leverage Microsoft Copilot Studio, Azure AI Foundry and Azure Dev Ops.
Write robust, maintainable code, primarily using Python.
Integrate LLMs, APIs and enterprise data sources into reliable AI applications.
Implement effective prompt engineering, grounding and knowledge integration techniques.
Ensure AI solutions meet security, data privacy, governance and compliance requirements.
Test, monitor, troubleshoot and continuously improve deployed AI solutions.
Evaluate emerging AI technologies and develop proofs of concept where appropriate.
Skills and Experience Required Proven commercial experience developing and deploying AI solutions into production.
Strong hands-on software engineering skills, ideally using Python.
Practical experience with Microsoft AI technologies, particularly Azure AI Foundry, Copilot Studio and Azure Dev Ops.
Experience working with LLMs, natural language processing and generative AI applications.
Experience integrating AI capabilities into existing applications, business processes and enterprise systems.
Understanding of secure software development, data protection and scalable solution architecture.
Strong problem-solving skills and the ability to translate business requirements into working technical solutions.
Excellent communication skills and a collaborative, delivery-focused approach.
Experience within legal, financial or other professional services environments would be advantageous but is not essential.
Importantly, this is a hands-on engineering and delivery role, not a purely strategic AI or innovation position.
We are particularly interested in candidates who can demonstrate AI solutions they have personally built, deployed and supported in production.
If you are passionate about turning AI capabilities into secure, reliable and genuinely useful business applications, we would love to hear from you.
Our client is an equal opportunity employer.
They celebrate diversity and are committed to creating an inclusive workplace where all employees feel valued and respected.
We encourage applications from candidates of all backgrounds.
Due to the high volume of applications, if you haven't heard from us within 2 working days, please assume your application has been unsuccessful on this occasion. #J-18808-Ljbffr
AI Solutions Engineer employer: Picture More
Join a leading professional services firm in Leeds as a Cyber Security Engineer, where you'll be part of a dynamic and collaborative team dedicated to enhancing security operations. With a hybrid working model and a competitive benefits package, this role offers you the chance to work with cutting-edge technologies while contributing to meaningful AI-driven security initiatives. The company fosters a culture of growth and innovation, providing ample opportunities for professional development in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solutions Engineer
✨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 Picture More 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 Picture More.
✨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 Picture More.
✨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 Picture More 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 Engineer
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 Picture More.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Picture More 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 Picture More
✨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 Picture More 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.
