Principal AI Engineer in Belfast

Principal AI Engineer in Belfast

Belfast Full-Time 72000 - 108000 £ / year (est.) No working from home possible
Rapid7

At a Glance

  • Tasks: Design and implement cutting-edge AI models to deliver real customer value.
  • Company: Join Rapid7's innovative AI Centre of Excellence, focused on security solutions.
  • Benefits: Competitive salary, mentorship opportunities, and a collaborative work environment.
  • Other info: Fast-paced, dynamic environment with opportunities for continuous learning and growth.
  • Why this job: Make a major impact in AI while working with talented engineers and data scientists.
  • Qualifications: Hands-on experience in applied AI, strong Python skills, and a passion for problem-solving.

The predicted salary is between 72000 - 108000 £ per year.

We are expanding our global AI footprint and are looking for a passionate Principal AI Engineer to join Rapid7’s AI Centre of Excellence. You should be ready to provide technical guidance and mentoring to the team while understanding the trade-offs between technical, UX, and product needs. You should excel in interacting and negotiating with key stakeholders, leading to solutions that take all of these needs into account.

About the Team

The AI Centre of Excellence designs, prototypes, and ships production AI models and systems. Our mission is to leverage the best available technology to protect our customers’ attack surfaces. For example, we partner closely with Rapid7’s Detection and Response teams, including our MDR service, to leverage AI/ML for enhanced customer security and threat detection. We operate with a creative, iterative approach, building on over 20 years of threat analysis and a growing patent portfolio. The environment is collaborative, focused on knowledge sharing and continuous learning. If you’re passionate about AI and want to make a major impact in a fast-paced, innovative environment, this is your opportunity.

About the Role

The Principal AI Engineer is part of our AI Centre of Excellence team at the forefront of designing and delivering customer-focused AI systems. In this role, you will design and implement AI models and systems using the most appropriate techniques—conventional machine learning, deep learning neural networks, or generative and agentic AI. You will be working on a high-impact, cross-functional team, ensuring our AI solutions are scalable, secure, and deliver real customer value. Speed to market is key: you’ll operate in an agile, iterative way, making fast, informed decisions about what to build, what to pause, and where to innovate further. You will have the opportunity to further enhance your skills surrounded by an incredibly talented group of engineers and data scientists, while mentoring others and driving forward Rapid7’s AI innovation.

In This Role, You Will:

  • Develop and ship AI systems with a focus on delivering customer value.
  • Tackle a diverse range of complex problems, often reframing existing solutions with new perspectives.
  • Take ownership of multiple projects as the principal go-to expert.
  • Act as a first-class stakeholder throughout the AI R&D process.
  • Build strong cross-functional relationships with engineering, UX, product management, and customer research teams.
  • Mentor colleagues with less experience, acting as a trusted technical resource.

The Skills You’ll Bring Include:

Technical Expertise
  • Significant hands-on experience in applied AI, able to independently design and build AI models and systems.
  • Strong Python skills and practical expertise with:
    • scikit-learn for conventional ML and data science.
    • PyTorch, TensorFlow, or Keras for deep learning.
    • AWS Bedrock, SageMaker, HuggingFace, or Transformers for LLM-based solutions.
    • CrewAI (or similar frameworks) for agentic AI projects.
    • Pandas/NumPy for data processing and transformation.
  • Intuition for selecting the right models and approaches for different use cases.
  • Cybersecurity expertise is a plus, but experience from other domains (e.g., finance, healthcare, marketplaces, insurance, legal, social media) is also highly valuable.
Personal Attributes
  • Positive, can-do, solution-oriented mindset with persistence in tackling complex challenges.
  • Bias for action and delivery, balancing speed with care.
  • Ability to thrive in a fast-paced environment, juggling multiple projects effectively.
  • Natural leader and collaborator, helping peers grow as problem solvers and communicators.
  • Curiosity and passion for continuous learning and self-development.
  • Open-minded approach, valuing feedback and new ideas from colleagues.
  • Strong interpersonal and communication skills, with the ability to explain complex AI concepts to diverse audiences and document work clearly.

Principal AI Engineer in Belfast employer: Rapid7

At Rapid7, we pride ourselves on being an exceptional employer, particularly for those passionate about AI and cybersecurity. Our collaborative work culture fosters continuous learning and innovation, providing ample opportunities for professional growth while working alongside a talented team of engineers and data scientists. Located in a dynamic environment, we offer the chance to make a significant impact through cutting-edge AI solutions that enhance customer security, all while enjoying a supportive atmosphere that values creativity and knowledge sharing.

Rapid7

Contact Details:

Rapid7 Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Principal AI Engineer in Belfast

Tip Number 1

Network like a pro! Get out there and connect with folks in the AI space. Attend meetups, webinars, or conferences where you can chat with industry leaders and potential colleagues. You never know who might have the inside scoop on job openings!

Tip Number 2

Show off your skills! Create a portfolio showcasing your AI projects, whether they’re personal, academic, or professional. This gives you a chance to demonstrate your expertise and passion for AI, making you stand out when you apply through our website.

Tip Number 3

Prepare for those interviews! Research common AI engineering questions and practice your responses. Be ready to discuss your past projects and how you tackled challenges. Remember, it’s all about showing how you can add value to our team at Rapid7.

Tip Number 4

Follow up after interviews! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in the interviewer's mind. Plus, it’s a great opportunity to reiterate why you’d be a perfect fit for the Principal AI Engineer position.

We think you need these skills to ace Principal AI Engineer in Belfast

Technical Guidance
Mentoring
Stakeholder Interaction
AI Model Design
Machine Learning
Deep Learning
Generative AI

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the Principal AI Engineer role. Highlight your experience with AI models, Python skills, and any relevant projects that showcase your ability to deliver customer value.

Showcase Your Technical Expertise:Don’t hold back on your technical skills! Be specific about your hands-on experience with tools like PyTorch, TensorFlow, or AWS. We want to see how you’ve applied these in real-world scenarios.

Demonstrate Your Collaborative Spirit:Since this role involves working closely with various teams, share examples of how you've built strong relationships in past roles. Highlight your mentoring experiences and how you’ve helped others grow.

Keep It Clear and Concise:When writing your application, clarity is key. Use straightforward language to explain complex concepts, and make sure your documents are well-structured. Remember, we appreciate a good story but keep it relevant!

How to prepare for a job interview at Rapid7

Know Your AI Stuff

Make sure you brush up on your technical skills, especially in Python and the frameworks mentioned like PyTorch and TensorFlow. Be ready to discuss specific projects where you've applied these technologies, as well as the trade-offs you considered when choosing different models.

Showcase Your Mentoring Skills

Since mentoring is a key part of this role, think of examples where you've guided less experienced colleagues. Prepare to share how you approach mentoring and the impact it had on your team’s performance and growth.

Understand Stakeholder Needs

Be prepared to talk about how you’ve successfully interacted with stakeholders in the past. Think of instances where you balanced technical requirements with user experience and product needs, and be ready to discuss how you navigated those conversations.

Emphasise Your Collaborative Spirit

This role requires strong cross-functional relationships, so come equipped with examples of how you've worked effectively with teams across different disciplines. Highlight your communication skills and how you ensure everyone is aligned towards common goals.