Lead Engineer (AI Native) in Manchester

Lead Engineer (AI Native) in Manchester

Manchester Full-Time 48000 - 84000 £ / year (est.) No working from home possible
CreateFuture

At a Glance

  • Tasks: Lead AI-native transformations and solve client challenges with innovative software solutions.
  • Company: Join CreateFuture, a dynamic AI consulting partner working with top brands.
  • Benefits: Enjoy 35 days leave, private medical insurance, and 40 hours of paid learning.
  • Other info: Flexible working options and a supportive culture focused on personal growth.
  • Why this job: Make a real impact by shaping the future of technology with AI.
  • Qualifications: Experience in software development and a passion for mentoring and coaching.

The predicted salary is between 48000 - 84000 £ per year.

About CreateFuture

CreateFuture is an AI-native consulting partner where people do work that matters and are supported to do it well. We work alongside organisations such as PayPal, adidas, NatWest, FanDuel and Money Saving Expert, building digital products and services that make a difference while always putting people first. We’re a team of creators. We write code, shape delivery, build go-to-market strategies, develop AI solutions and create the practices that support our people. We work side by side with our clients, challenging what’s not working and helping them to build the future. Our commitment to craft, quality, and culture has helped us scale to over 600 people in just a few years.

35 days leave (including bank holidays). Private medical insurance. Enhanced parental and adoption leave. 40 hours of paid learning and development. Join us on our journey. Let’s create tomorrow, together, today.

About the role and team:

This role is primarily a client facing role, focused both on solving client problems and AI native transformation of their own teams, however you will play a varied role across all elements of our business, from pre-sales through to marketing and thought leadership - you’re not afraid to lean in and contribute wherever an opportunity presents itself. You have excellent consulting skills - you love appropriately challenging the client context or requirements to lead them towards a better outcome. You care deeply about software craftsmanship, designing and building and shipping high-quality, maintainable systems and you use AI as a force multiplier to amplify your own impact and raise the bar for the teams you work with. You’ve got a real appreciation of operational, commercial and cultural impact of making changes to ways of working through the use of AI and you ensure safe and ethical applications and you enjoy helping simplify problems, make decisions, and have a bias to build and test over analysis paralysis, taking responsibility for overall outcomes, not just the implementation, and are influential. You’ve got a clear communications style, and love using your experience to help others succeed through mentoring and coaching.

What you’ll be doing:

  • Work closely with client teams to understand their context, constraints, and goals, and help turn ambiguous problems into clear, workable approaches.
  • Design and build software across different parts of a system, making pragmatic decisions that balance speed, quality, and long-term maintainability.
  • Use AI tools extensively and usefully throughout the delivery lifecycle to support research, context exploration, architecture, implementation, testing, and documentation, while ensuring decisions and changes are traceable and explainable.
  • Build and coach quality from the start by applying AI to strong foundational techniques such as observability, verification and build automation.
  • Help clients make deliberate AI-focused technology and tooling choices that avoid unnecessary lock-in and allow delivery approaches to evolve as cost, regulation, or capability changes.
  • Share learning with both client teams and CreateFuture colleagues to improve delivery practices over time.
  • Deliver external thought leadership at conferences and meetups to improve our brand presence and credibility.

We’d love to talk to you if you:

  • Have significant experience building and maintaining production software and understands the core responsibilities and accountabilities that come with it, irrespective of AI.
  • Have a core and demonstrably strong and recent skillset around common languages/stacks that are in use in production, for example within the Java, .NET or Web engineering ecosystems.
  • Have experience of designing, building and operating software systems in at least one cloud hyperscaler.
  • Feel confident and comfortable owning the underlying workload infrastructure for your domain boundary, making architecture decisions and engaging with platform and architecture functions.
  • Whilst we don’t expect you to be an expert in design, product or delivery, you will have an appreciation and good general understanding of those disciplines - our belief is you will be able to accelerate outcomes with your T-shaped thinking and application of good general problem solving skills & AI to derive specific domain context.
  • Are comfortable with ambiguity and are happy working across multiple parts of a system rather than focusing on a single framework or layer.
  • Use AI tools to scale execution, while remaining accountable for the outcomes they produce.
  • Have a commercial mindset, solve pain points to drive business outcomes within client constraints and technology risk.
  • Are comfortable with ambiguity and relishes the opportunity to learn, explore and define.

What we’ll offer you:

We trust people to do their best work. That means flexibility over rigid rules, impact over activity, and real investment in your growth both professionally and personally. You’ll be part of a supportive, and friendly culture, surrounded by smart, curious people who care deeply about what they do. We offer flexible working, including hybrid and remote options. Our office hubs are located in Edinburgh, Leeds, Manchester, London and Bulgaria, with occasional travel to client sites or CreateFuture offices when needed. We trust you to manage your time balancing collaboration with client time and focused work. What matters is the impact you have, not how busy you look.

Our hiring process

We try to keep our hiring process clear, fair and respectful of your time. We aim to get back to everyone who applies and we will be upfront about where you are in the process. Call with our Talent Acquisition Team Role specific capability interview Depending on the role, we might also ask you to do a short presentation, a practical or technical task or have a values focused conversation. We will explain what is involved before anything happens.

Inclusion at CreateFuture

We believe diverse teams build better workplaces and better products. We want CreateFuture to be a place where people feel able to be themselves and do their best work. We look forward to your application!

Lead Engineer (AI Native) in Manchester employer: CreateFuture

CreateFuture is an exceptional employer that prioritises meaningful work and employee well-being, offering 35 days of leave, private medical insurance, and extensive learning opportunities. With a supportive culture that values flexibility and collaboration, employees are empowered to grow both professionally and personally while working on impactful AI solutions for renowned clients. Join a team of passionate creators in a dynamic environment where your contributions truly matter.

CreateFuture

Contact Details:

CreateFuture Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Engineer (AI Native) in Manchester

Tip Number 1

Network like a pro! Reach out to people in your industry on LinkedIn or at meetups. Don’t be shy; ask for informational interviews or advice. You never know who might have the inside scoop on job openings!

Tip Number 2

Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving AI. This gives potential employers a taste of what you can do and sets you apart from the crowd.

Tip Number 3

Prepare for interviews by practising common questions and scenarios related to AI and software development. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving skills.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Lead Engineer (AI Native) in Manchester

Consulting Skills
Software Craftsmanship
AI Tools Proficiency
Problem-Solving Skills
Communication Skills
Mentoring and Coaching
Cloud Computing Experience

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the Lead Engineer role. Highlight your experience with AI, software craftsmanship, and client-facing roles. We want to see how your skills align with our mission at CreateFuture!

Showcase Your Problem-Solving Skills:In your application, share examples of how you've tackled ambiguous problems in the past. We love candidates who can simplify complex issues and lead teams towards effective solutions, so let us know how you've done this!

Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to communicate your experience and achievements. We appreciate a direct approach that gets to the point without unnecessary fluff!

Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at CreateFuture!

How to prepare for a job interview at CreateFuture

Understand the Client's Context

Before your interview, research CreateFuture and its clients. Understand their challenges and how AI can transform their operations. This will help you demonstrate your consulting skills and show that you can effectively engage with client teams.

Showcase Your Technical Skills

Be prepared to discuss your experience with production software and the tech stacks mentioned in the job description. Bring examples of your work, especially those that highlight your ability to design and build maintainable systems using AI tools.

Communicate Clearly

Practice articulating your thoughts clearly and concisely. Since the role involves mentoring and coaching, being able to explain complex ideas simply will be crucial. Consider doing mock interviews to refine your communication style.

Emphasise Your Problem-Solving Approach

Prepare to discuss how you've tackled ambiguous problems in the past. Highlight your bias towards action and building over analysis paralysis. Share specific examples where your decisions led to successful outcomes, especially in AI-related projects.