At a Glance
- Tasks: Design and implement cutting-edge AI models to enhance customer security.
- Company: Join Rapid7, a leader in cybersecurity innovation and collaboration.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborative culture focused on continuous learning and knowledge sharing.
- Why this job: Make a real impact in AI while mentoring others in a fast-paced setting.
- Qualifications: Hands-on experience in applied AI and strong Python skills required.
The predicted salary is between 43200 - 72000 £ 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.
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.
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.
At Rapid7, we are on a mission to create a secure digital world for our customers, our industry, and our communities. We embrace tenacity, passion, and collaboration to challenge what’s possible and drive extraordinary impact.
Here, we’re building a dynamic workplace where everyone can have the career experience of a lifetime. We challenge ourselves to grow to our full potential. We learn from our missteps and celebrate our victories. We come to work every day to push boundaries in cybersecurity and keep our 10,000 global customers ahead of whatever’s next.
Principal AI Engineer in Belfast employer: Divvy Cloud Corp.
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 empower our employees to make a significant impact, ensuring that every day presents new challenges and rewards in the ever-evolving landscape of digital security.
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 even local tech events. You never know who might be looking for someone just like you!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects. Whether it's GitHub repos or a personal website, let your work speak for itself. This is your chance to shine!
✨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 they relate to the role at Rapid7.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the Rapid7 team. Let's make it happen!
We think you need these skills to ace Principal AI Engineer in Belfast
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI shine through! We want to see how your passion aligns with our mission at the AI Centre of Excellence. Share specific examples of projects or experiences that fuelled your interest in AI.
Tailor Your Application:Make sure to customise your application to highlight the skills and experiences that are most relevant to the Principal AI Engineer role. We’re looking for someone who can tackle complex problems, so don’t hesitate to showcase your problem-solving abilities!
Be Clear and Concise:While we love a good story, clarity is key! Keep your application straightforward and to the point. Use bullet points where necessary to make it easy for us to see your qualifications and achievements at a glance.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Divvy Cloud Corp.
✨Know Your AI Stuff
Make sure you brush up on your technical skills, especially in Python and frameworks like PyTorch or TensorFlow. Be ready to discuss your past projects and how you tackled complex AI problems, as this will show your hands-on experience and expertise.
✨Understand the Business Impact
Get familiar with how AI can drive customer value in cybersecurity. Be prepared to explain how your solutions can enhance security and threat detection, and think about how you can align your technical decisions with business needs.
✨Show Off Your Mentoring Skills
Since mentoring is a key part of the role, think of examples where you've guided less experienced colleagues. Highlight your ability to communicate complex concepts clearly and how you've helped others grow in their roles.
✨Be Ready for Collaboration
This role involves working closely with cross-functional teams, so be prepared to discuss how you've built strong relationships with stakeholders in the past. Share examples of how you’ve collaborated with UX, product management, or engineering teams to deliver successful projects.