At a Glance
- Tasks: Lead the design and deployment of cutting-edge AI solutions for enterprise challenges.
- Company: Join a VC-backed AI consultancy shaping the future of enterprise AI.
- Benefits: Competitive salary up to £150,000, bonuses, and hybrid work options.
- Other info: Collaborative environment with opportunities to shape AI strategy and partnerships.
- Why this job: Make a real impact by building innovative AI solutions at scale.
- Qualifications: Strong software engineering skills in Python, JavaScript/TypeScript, and cloud platforms.
The predicted salary is between 81000 - 99000 £ per year.
Location: Central London (Hybrid)
Salary: Up to £150,000 + Bonus
Lumora Solutions is partnered with a VC-backed AI Consultancy to build a FDE Centre of Excellence, as a Lead Forward Deployed AI Engineer, partnering directly with customers to design, deploy, and scale AI-powered enterprise solutions. As part of the AI Foundry team and Anthropic partnership, you’ll shape innovative Claude-powered workflows, platforms, and accelerators while helping define the future of enterprise AI.
What you will be doing:
- Lead the design, development, and deployment of AI-powered solutions that solve complex enterprise challenges.
- Build and scale LLM applications, agentic workflows, integrations, and AI-powered automations using modern AI engineering practices.
- Partner with technical and business stakeholders to shape AI strategy, identify opportunities, and deliver measurable business outcomes.
- Define and embed scalable AI engineering practices, reusable accelerators, and responsible AI standards.
- Build technology partnerships and help shape new AI capabilities, solutions, and go-to-market offerings.
What you will bring:
- Strong software engineering and enterprise integration experience, with hands-on skills in Python, JavaScript/TypeScript, APIs, and cloud platforms.
- Practical experience building and deploying AI/LLM solutions, including RAG, agentic workflows, tool use, and AI-powered automation.
- Strong understanding of modern LLM engineering and responsible AI, including evaluation, security, and data protection.
- Experience shaping AI strategy, building scalable engineering practices, and developing strong technology and partner relationships.
- A customer-focused mindset, strong communication skills, and the ability to turn complex challenges into practical, high-impact solutions.
Why Join:
Shape the future of enterprise AI. Build innovative AI solutions at scale.
Lead Forward Deployed AI Engineer employer: Lumora Solutions
As an Artificial Intelligence Consultant at our company, you will be part of a dynamic and innovative team dedicated to pushing the boundaries of AI technology. We offer a hybrid work environment that promotes flexibility and work-life balance, alongside competitive salaries and opportunities for professional growth in a rapidly evolving field. Join us to collaborate with top-tier clients on impactful projects while utilising cutting-edge technologies in a supportive and forward-thinking culture.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Forward Deployed AI 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 Lumora Solutions 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 Lumora Solutions.
✨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 Lumora Solutions.
✨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 Lumora Solutions 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 Forward Deployed AI 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 Lumora Solutions.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Lumora Solutions 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 Lumora Solutions
✨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 Lumora Solutions 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.
