At a Glance
- Tasks: Design and develop AI solutions that transform the insurance industry.
- Company: Join Howden, a global insurance group with a unique employee-owned culture.
- Benefits: Enjoy flexible working, career growth, and a supportive team environment.
- Why this job: Be at the forefront of AI innovation and make a real impact.
- Qualifications: 3-5 years in software engineering with MLOps focus and cloud expertise.
- Other info: Diverse team culture that values learning and personal development.
The predicted salary is between 36000 - 60000 £ 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.
About The Role
Howden Group Services is expanding its AI & Data Science capabilities and is looking for an AI Deployment 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 have a dual reporting line into the Group Head of Data Science and the Group Head of Data Operations and will bring deep technical expertise on cloud engineering and SRE with a focus on 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.
Role Responsibilities
- Design and develop scalable and secure infrastructure and CI/CD pipelines for AI solutions
- Engineer and maintain production-ready RAG infrastructures and Vector Databases for our AI use cases and implement efficient retrieval strategies for data
- Work with our AI Engineers and Data Scientists to develop and maintain a highly reliable Model Serving Layer and make our models available as scalable and reliable services, including for LLM access
- Act as a technical and platform authority for AI Solutions and provide thought leadership to the rest of the Data Science and Data Platform team on the latest AI technologies and solutions
- Engineer and maintain infrastructure and data pipelines for custom model fine-tuning
- Implement and manage standardised Agent Frameworks, multi-agent systems and autonomous decision-making frameworks
- Work with AI Engineers and Data Scientists to build appropriate observability, logging and monitoring solutions for our AI use cases, including model performance KPIs, token usage, drift and hallucination detection
- Develop, build and maintain the Howden Enterprise AI Platform, including robust security, networking, and access strategies
- Implement a robust FinOps framework for our AI use cases allowing for precise cost controls and chargebacks
- Contribute to an excellent developer experience by building robust SDKs, APIs as well as drafting clear documentation and knowledge-sharing artefacts
Your Skills
- 3-5 years of experience in Software Engineering with a focus of MLOps
- Track record of shipping production ML and AI systems at scale in enterprise environments
- Deep knowledge of cloud infrastructure (Azure preferred) and infrastructure as code (Terraform, Azure Bicep etc)
- Excellent proficiency in Python and developing robust and scalable APIs and microservices
- A working understanding of LLM architectures, MLOps and AIOps architectures including optimising complex RAG pipelines using vector databases (e.g. PGVector)
- An interest and some hands-on experience with agentic frameworks
- A demonstrable track record of designing simple and efficient technical solutions and infrastructure. Bonus points for implementing cost-saving measures in large-scale cloud deployments and/or large organisations with multiple user groups
At Howden, we are looking to build a diverse team and promote the development of individuals of all backgrounds. If you have experience of mentoring and coaching others, we'd encourage you to apply if you meet the majority of these requirements and are driven by learning, developing and picking up the required skills to make you successful in your role.
Core Responsibilities for all Staff
- Achieve Results through Relationships with All Parties
- Deliver a personal performance that contributes towards Group and/or Company achieving their 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.
A career that you define. At Howden, we value diversity – there is no one Howden type. Instead, we're looking for individuals who share the same values as us:
- Our successes have all come from someone brave enough to try something new
- We support each other in the small everyday moments and the bigger challenges
- We are determined to make a positive difference at work and beyond
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.
Principal Ai Deployment Engineer in England employer: Howden Group
Contact Detail:
Howden Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Ai Deployment Engineer in England
✨Tip Number 1
Network like a pro! Reach out to current employees at Howden on LinkedIn and ask about their experiences. A friendly chat 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. Make sure you can discuss your experience with MLOps, cloud infrastructure, and AI applications confidently. We want to see your passion shine through!
✨Tip Number 3
Showcase your projects! Bring examples of your previous work, especially those involving scalable AI solutions. This will help us see how you can contribute to our team right away.
✨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 Howden.
We think you need these skills to ace Principal Ai Deployment Engineer in England
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in AI deployment and cloud engineering. We want to see how your skills align with our needs at Howden, so don’t hold back on showcasing your relevant projects!
Show Your Passion for AI: Let us know why you’re excited about AI and its potential in the insurance industry. Share any personal projects or experiences that demonstrate your enthusiasm and understanding of AI technologies – it’ll help you stand out!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see your qualifications and fit for the role.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Howden Group
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of cloud infrastructure, especially Azure, and be ready to discuss your experience with MLOps. Be prepared to share specific examples of how you've designed and implemented scalable AI solutions in previous roles.
✨Showcase Your Problem-Solving Skills
During the interview, highlight instances where you've tackled complex problems using AI technologies. Discuss your approach to optimising RAG pipelines or implementing cost-saving measures in large-scale deployments. This will demonstrate your ability to think critically and innovate.
✨Emphasise Collaboration
Since this role involves working closely with AI Engineers and Data Scientists, be ready to talk about your teamwork experiences. Share examples of how you've contributed to a collaborative environment and how you’ve helped others succeed in their projects.
✨Prepare Questions About Culture and Values
Howden values a strong culture and employee ownership, so come prepared with questions that show your interest in their work/life balance, sustainability efforts, and team dynamics. This not only shows your enthusiasm but also helps you gauge if the company aligns with your values.