Enterprise AI Deployment Engineer (Hybrid)

Enterprise AI Deployment Engineer (Hybrid)

Full-Time 80000 - 100000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and deploy cutting-edge AI solutions for enterprise clients.
  • Company: Lumora Solutions, a leader in AI technology based in London.
  • Benefits: Market-leading salary, hybrid work model, and comprehensive benefits.
  • Other info: Work closely with clients and enjoy a collaborative environment.
  • Why this job: Join a dynamic team and shape the future of AI in enterprises.
  • Qualifications: Experience with AI systems, Python, and strong problem-solving skills.

The predicted salary is between 80000 - 100000 £ per year.

Lumora Solutions in London is seeking a Forward Deployed Engineer to design, build and deploy production AI solutions for enterprise customers.

You will work closely with clients to translate complex requirements into scalable AI systems, leveraging LLM/Agentic AI, Python, and AI orchestration.

The role offers hybrid working pattern (1 day per week in London) and a market-leading salary and benefits.

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Enterprise AI Deployment Engineer (Hybrid) employer: Lumora Solutions

At Lumora Solutions, we pride ourselves on being a leading global consultancy in Data & AI, offering our employees the chance to work on cutting-edge projects that shape the future of technology. Our remote work culture promotes flexibility and work-life balance, while our commitment to employee growth ensures that you will have access to continuous learning opportunities and career advancement. Join us to be part of a high-performing team where your expertise in data architecture will be valued and rewarded.

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Contact Details:

Lumora Solutions Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Enterprise AI Deployment Engineer (Hybrid)

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 Enterprise AI Deployment Engineer (Hybrid)

AI Solutions Design
Production Deployment
Client Collaboration
Requirements Translation
Scalable AI Systems
LLM/Agentic AI
Python

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.