At a Glance
- Tasks: Shape AI capabilities and transform opportunities into practical business solutions.
- Company: Join a dynamic organisation pioneering AI initiatives.
- Benefits: Enjoy autonomy, competitive salary, and opportunities for professional growth.
- Other info: Work in a greenfield environment with excellent career advancement potential.
- Why this job: Be a founding member of an exciting AI function and make a real impact.
- Qualifications: Experience in software engineering and a passion for AI and automation.
The predicted salary is between 72000 - 88000 £ per year.
This is a unique opportunity to help establish and shape a new AI capability within a complex, multi-functional organisation. Working in a greenfield environment, you will play a key role in defining architectural standards, engineering practices, governance frameworks and delivery approaches that will underpin future AI initiatives. The role offers significant autonomy and ownership, with responsibility for transforming AI opportunities into practical business solutions.
You will work closely with business stakeholders and analysts to identify high-value use cases, rapidly develop proofs of concept, and scale successful solutions into production. This is a foundations role focused on creating scalable, sustainable AI capabilities rather than maintaining legacy systems. The decisions made in the early stages will influence how AI solutions are designed, governed, evaluated and deployed across the organisation in the future.
The AI Engineer will play a central role in designing, building and operating AI-powered solutions that improve productivity, decision-making, customer experience and operational effectiveness. This is a highly hands-on position requiring ownership of the end-to-end delivery lifecycle, from solution architecture and platform selection through to development, testing, deployment and handover.
The successful candidate will work with stakeholders across business functions, technology teams and external partners to translate opportunities into production-ready AI products and automations. The role combines software engineering, AI engineering, automation and solution architecture. You will design and build AI agents, orchestration workflows and intelligent automation solutions whilst ensuring they are secure, scalable, maintainable and aligned with business objectives.
While supported by technical leadership, the AI Engineer will be expected to operate independently, exercising sound judgement and taking ownership of architectural and implementation decisions.
Key Responsibilities
- Partner with business stakeholders and analysts to identify high-value AI and automation opportunities.
- Evaluate processes and workflows to determine where AI can deliver measurable business value.
- Rapidly develop proofs of concept to validate technical feasibility and business outcomes.
- Assess and recommend the most appropriate technologies, platforms and approaches for each use case.
- Contribute to documentation, governance frameworks and knowledge repositories to support responsible AI adoption.
- Progress successful proofs of concept into robust, production-grade AI solutions.
- Design and build AI agents, copilots and automation workflows using appropriate low-code and pro-code platforms.
- Develop and maintain Python-based services, integrations and orchestration components.
- Build and support workflow automations, including error handling, monitoring and operational resilience.
- Integrate enterprise systems, data sources, APIs and external services while maintaining security and compliance standards.
- Perform testing, validation and performance optimisation to ensure reliable production operation.
- Own and contribute to the architecture of the AI solution landscape.
- Select appropriate knowledge, retrieval and data-access strategies for different AI use cases.
- Implement evaluation frameworks, guardrails, monitoring and observability for AI solutions.
- Ensure solutions are developed in line with security, privacy, compliance and data governance requirements.
- Establish deployment standards, CI/CD practices and reusable engineering patterns.
- Maintain high-quality documentation to support knowledge.
Microsoft AI Engineer in London employer: Chroma Recruitment Ltd
As a Microsoft AI Engineer, you will join a pioneering team in a dynamic and innovative environment, where your contributions will directly shape the future of AI capabilities within the organisation. The company fosters a culture of autonomy and collaboration, offering ample opportunities for professional growth and development while working on cutting-edge projects that drive real business impact. With a focus on sustainable AI solutions and a commitment to employee empowerment, this role provides a unique chance to be at the forefront of technological advancement in a supportive and forward-thinking workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Microsoft AI Engineer 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 Chroma Recruitment Ltd 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 Chroma Recruitment Ltd.
✨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 Chroma Recruitment Ltd.
✨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 Chroma Recruitment Ltd 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 Microsoft AI Engineer 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 Chroma Recruitment Ltd.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Chroma Recruitment Ltd 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 Chroma Recruitment Ltd
✨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 Chroma Recruitment Ltd 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.
