Lead AI Integration Engineer

Lead AI Integration Engineer

Full-Time 63000 - 77000 £ / year (est.) On-site
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At a Glance

  • Tasks: Lead a team in developing innovative AI solutions while maintaining high engineering standards.
  • Company: Join MONY Labs, a forward-thinking tech company fostering collaboration and creativity.
  • Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
  • Other info: Be part of a dynamic team with a culture of continuous improvement and learning.
  • Why this job: Make a real impact in AI integration and shape the future of technology.
  • Qualifications: Proven experience in software development and strong leadership skills required.

The predicted salary is between 63000 - 77000 £ per year.

This role is sat within MONY Labs (Big/Little Dipper). As Lead Engineer, you will provide day-to-day technical leadership for the team, ensuring high-quality engineering practices, effective technical decision-making, and predictable delivery of software and services within the team’s ownership. You will remain hands-on, contributing directly to the codebase while supporting and developing engineering capability across the team.

Key Responsibilities

  • Technical Delivery Leadership
    • Lead the refinement of features and user stories into clear, actionable technical activities.
    • Ensure the team has a shared understanding of implementation approaches, dependencies and delivery sequencing.
    • Support effective estimation and planning by ensuring technical work is appropriately scoped and trackable through to completion.
    • Work closely with Product and Engineering colleagues to maintain delivery clarity and confidence.
  • Hands-On Technical Contribution
    • Actively contribute to the development, maintenance and support of software within the team’s domain.
    • Maintain a deep understanding of the team’s services, systems and operational landscape.
    • Use hands-on engineering involvement to support technical decisions, remove delivery blockers and provide practical coaching to engineers.
    • Lead by example through consistent delivery of high-quality, maintainable software.
  • Engineering Standards & Quality
    • Ensure engineers within the team adhere to agreed software engineering standards, principles and best practices.
    • Promote maintainable, scalable and well-designed solutions through effective design review and implementation guidance.
    • Champion quality as a shared engineering responsibility, ensuring appropriate testing, validation and operational readiness are built into delivery practices.
    • Reinforce the adoption of sound software design principles and sustainable engineering practices.
    • Model high standards of technical excellence, professionalism, accountability and constructive challenge.
    • Foster a culture of continuous technical improvement and learning.
  • Technical Decision Making
    • Lead technical decision-making within the team’s area of ownership.
    • Ensure decisions are well-reasoned, appropriately documented and aligned with agreed architectural direction.
    • Maintain awareness of wider engineering, architectural and domain strategy to ensure local decisions support broader organisational goals.
    • Recognise when decisions may have cross-team, domain or architectural impact and engage Principal Engineers and wider engineering forums where appropriate.
    • Establish clear and transparent decision-making practices that build confidence and alignment across the team.
  • Team Leadership & Delivery Impediment Removal
    • Proactively identify and remove technical impediments that impact delivery.
    • Escalate structural, cross-team or external blockers when required and ensure they are actively managed through to resolution.
    • Enable engineers to focus on delivery by reducing friction and improving team effectiveness.
  • Delivery Flow & Visibility
    • Lead the operation and maintenance of the team’s delivery processes and tracking tools.
    • Ensure work is visible, well-managed and clearly communicated from inception through to release.
    • Drive continuous improvement in delivery practices to support efficiency, predictability and transparency.
    • Provide clear visibility of delivery progress, risks and dependencies to stakeholders where appropriate.
  • Service Ownership & Operational Excellence
    • Promote a strong “you build it, you run it” culture across the team.
    • Ensure services within the team’s ownership remain reliable, maintainable and safe to evolve.
    • Drive visibility of service health, operational performance and reliability metrics.
    • Maintain transparency around technical debt, legacy constraints and operational risks, ensuring they are understood and appropriately prioritised.
    • Support engineers in taking accountability for the long-term health of the systems they deliver.
  • Operability & Cost of Ownership Management
    • Ensure operability requirements such as CI/CD improvements, platform maintenance, security updates and technical debt are visible and appropriately tracked.
    • Clearly articulate the risks and long-term costs associated with deferring maintenance or technical investment.
    • Partner with Product colleagues to achieve an appropriate balance between feature delivery, reliability and sustainability.
    • Escalate broader architectural or systemic concerns where necessary.
  • Technical Coaching & Capability Development
    • Provide ongoing technical coaching and mentoring to engineers within the team.
    • Strengthen engineering capability through pairing, code reviews, technical discussions and practical guidance.
    • Support the development of strong design judgement, problem-solving capability and ownership mindset across the team.
    • Contribute to hiring activities, including technical interviews and engineering assessments.
    • Help build a high-performing engineering culture through knowledge sharing and professional development.
  • Collaborative Culture
    • Create an environment where constructive technical discussion is encouraged and valued.
    • Foster psychological safety, ensuring engineers feel comfortable raising concerns, questioning assumptions and challenging ideas respectfully.
    • Encourage shared ownership, accountability and collaborative problem-solving.
    • Promote healthy engineering debates focused on achieving the best outcomes for customers, colleagues and the business.

What Success Looks Like

A successful Lead Engineer:

  • Provides clear technical leadership while remaining an active contributor.
  • Enables predictable and sustainable delivery within the team’s domain.
  • Maintains high engineering standards and quality practices.
  • Builds trust through sound technical judgement and transparent decision-making.
  • Coaches and develops engineers, improving technical capability across the team.
  • Ensures services remain reliable, operable and fit for future growth.
  • Creates an environment where teams collaborate effectively and continuously improve.

Please note: You can find all responsibilities of a Lead Engineer in Confluence. All core Senior Developer responsibilities and expectations continue to apply (and again, can be found in Confluence).

Lead AI Integration Engineer employer: MONY Group plc

At MoneySuperMarket Group, we pride ourselves on being a dynamic and inclusive employer that values creativity and collaboration. Our commitment to employee growth is evident through extensive training opportunities, mentorship, and access to cutting-edge technology, ensuring that our Data Analysts not only contribute to meaningful projects but also develop their skills in a supportive environment. With a strong focus on work-life balance, generous holiday allowances, and a culture that celebrates diversity, we offer a workplace where every team member can thrive and make a real impact.

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Contact Details:

MONY Group plc Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead AI Integration Engineer

✨Join Local Tech Meetups

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✨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 MONY Group plc.

✨Tap into Online Developer Communities

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✨Explore Job Boards Specifically for Tech Roles

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We think you need these skills to ace Lead AI Integration Engineer

Technical Leadership
Software Development
Agile Methodologies
Story Refinement
Technical Decision-Making
Engineering Standards
Quality Assurance

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 MONY Group plc.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at MONY Group plc 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 MONY Group plc

✨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 MONY Group plc 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.