Principal AI Engineer

Principal AI Engineer

Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and implement AI solutions that transform the insurance industry.
  • Company: Join Howden, a global insurance group with a unique employee-owned culture.
  • Benefits: Enjoy flexible working hours, career progression, and a supportive work environment.
  • Why this job: Be at the forefront of AI innovation and make a real impact in a collaborative team.
  • Qualifications: Proven experience in deploying ML and AI systems in enterprise settings.
  • Other info: Opportunity for personal growth and to work with cutting-edge technologies.

The predicted salary is between 43200 - 72000 £ per year.

Howden is a global insurance group with employee ownership at its heart. Together, we have pushed the boundaries of insurance. We are united by a shared passion and no-limits mindset, and our strength lies in our ability to collaborate as a powerful international team comprised of 23,000 employees spanning over 56 countries. People join Howden for many different reasons, but they stay for the same one: our culture. It’s what sets us apart, and the reason our employees have been turning down headhunters for years. Whatever your priorities – work / life balance, career progression, sustainability, volunteering – you’ll find like-minded people driving change at Howden.

Howden Group Services is expanding its AI & Data Science capabilities and is looking for a contract Principal AI Engineer to help accelerate our transformation and build enterprise-grade solutions with AI at their core that will be used by hundreds of colleagues across the Group. You will report into the Group Head of Data Science and will bring deep technical expertise on developing, building and productionising AI applications. You will be given freedom to experiment, test and bring new technologies that push the envelope on using AI to solve enterprise problems and apply them to the complex business domain of commercial insurance.

Responsibilities

  • Design and implement robust Machine Learning and AI workflows using orchestration tools such as Airflow (or equivalent tools more suited to AI workflows).
  • Ground LLM solutions by integrating appropriate data sources, design and develop RAG architectures, design and craft effective prompt templates, apply constraints to guide model behaviour and validate AI outputs against expected results.
  • Work with our Data Platform Engineering team to build and maintain CI / CD pipelines for ML and AI solutions covering model training, evaluation and deployment.
  • Design and implement model registries, versioning systems, and experiment tracking to ensure full reproducibility of all model releases.
  • Build model monitoring solutions tracking performance, drift, accuracy and overall solution health.

Your Skills / Qualifications

  • Track record of shipping production ML and AI systems at scale in enterprise environments.
  • Extensive experience deploying ML and AI solutions through CI / CD pipelines, MLOps best practices, model lifecycle management, and software development best practices (git, testing & code review).
  • Experience with LLM architectures, including vector databases, RAG architectures, and semantic search systems, and implementing these to enterprise-grade production standards.
  • Experience of designing and implementing monitoring and solution health KPIs.
  • Experience of working in cloud AI ecosystems. Familiarity with AzureML, Azure AI Foundry and / or Databricks is a strong plus.
  • Deep Python programming skills and software engineering experience applied to data science solutions.
  • Ability to write documentation that others can rely on and use.

Bonus points if you have:

  • Experience designing and developing RESTful APIs and an understanding of API Management frameworks.
  • Knowledge of Model Context Protocol (MCP) and agent communication standards.
  • Working understanding of agentic AI patterns, multi-agent systems, and autonomous decision-making frameworks.
  • Experience with enterprise AI frameworks (LangChain AutoGPT, CrewAI or similar).
  • Experience setting technical standards, governance frameworks, and performance benchmarks in a regulated industry.

Core Responsibilities for all Staff

  • Achieve Results through Relationships with All Parties: Deliver a personal performance that contributes towards Group and / or Company objectives.
  • Achieve lasting relationships with all parties (internal clients, suppliers, third parties and other staff).
  • Delivery of Service: Consistently deliver an excellent and comprehensive service, on-time, within budget and to, or exceeding quality expectations.
  • Conduct and Integrity: Ensure all dealings are carried out with integrity and professionalism. Act in utmost good faith, in accordance with Group and / or Company policies and never risk the Company’s or the Group’s reputation.
  • Reporting: Monitor and report on Business Units’ issues. Provide relevant management information to senior management. Any other reasonable duties, as required.

Reasonable adjustments

We’re committed to providing reasonable accommodations at Howden to ensure that our positions align well with your needs. Besides the usual adjustments such as software, IT, and office setups, we can also accommodate other changes such as flexible hours or hybrid working. If you’re excited by this role but have some doubts about whether it’s the right fit for you, send us your application – if your profile fits the role’s criteria, we will be in touch to assist in helping to get you set up with any reasonable adjustments you may require. Not all positions can accommodate changes to working hours or locations. Reach out to your Recruitment Partner if you want to know more.

Principal AI Engineer employer: Howden Group

Howden is an exceptional employer that fosters a culture of collaboration and innovation, making it an ideal place for a Principal AI Engineer to thrive. With a strong emphasis on employee ownership, work-life balance, and career progression, you will be part of a dynamic international team dedicated to pushing the boundaries of AI in the commercial insurance sector. The company offers unique opportunities for experimentation and growth, ensuring that your contributions are valued and impactful.
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Contact Detail:

Howden Group Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Principal AI Engineer

✨Tip Number 1

Network like a pro! Reach out to current employees at Howden on LinkedIn or other platforms. Ask them about their experiences and the company culture. This can give you insider info and might even lead to a referral!

✨Tip Number 2

Prepare for the interview by brushing up on your technical skills. Since you're aiming for a Principal AI Engineer role, be ready to discuss your experience with ML workflows, CI/CD pipelines, and any relevant projects you've worked on.

✨Tip Number 3

Showcase your passion for AI and data science during interviews. Talk about how you've pushed boundaries in your previous roles and how you can bring that no-limits mindset to Howden. They love innovative thinkers!

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Howden team.

We think you need these skills to ace Principal AI Engineer

Machine Learning
AI Workflows
Orchestration Tools (e.g., Airflow)
LLM Architectures
RAG Architectures
Data Integration
CI/CD Pipelines
MLOps Best Practices
Model Lifecycle Management
Deep Python Programming
Software Engineering
Monitoring Solutions
Cloud AI Ecosystems
RESTful APIs
Documentation Skills

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 ML and AI systems, and don’t forget to mention any relevant projects that showcase your skills in a way that aligns with our needs at Howden.

Showcase Your Technical Skills: We want to see your deep technical expertise! Be specific about your experience with CI/CD pipelines, MLOps best practices, and any cloud AI ecosystems you've worked with. This is your chance to shine, so don’t hold back!

Keep It Clear and Concise: When writing your application, clarity is key. Use straightforward language and avoid jargon where possible. We appreciate well-structured documents that are easy to read and get straight to the point.

Apply Through Our Website: Don’t forget 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 Howden!

How to prepare for a job interview at Howden Group

✨Know Your AI Stuff

Make sure you brush up on your knowledge of machine learning and AI workflows, especially with tools like Airflow. Be ready to discuss your past experiences in deploying ML solutions and how you've tackled challenges in production environments.

✨Showcase Your Collaboration Skills

Since Howden values teamwork, be prepared to share examples of how you've successfully collaborated with cross-functional teams. Highlight any experiences where you worked closely with data engineers or other stakeholders to deliver AI solutions.

✨Demonstrate Problem-Solving Abilities

Think of specific instances where you've used AI to solve complex problems, particularly in enterprise settings. Be ready to explain your thought process and the impact your solutions had on the business.

✨Prepare for Technical Questions

Expect technical questions about LLM architectures, CI/CD pipelines, and model monitoring. Brush up on your Python skills and be ready to discuss best practices in software development and MLOps to show you're the right fit for the role.

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