AI Systems Engineer (Engineering Velocity)

Aviva Plc; Wideopen; On-site; GBP 80,000 - 110,000; Full time

Job summary

A leading insurance company in the UK is seeking a candidate to lead AI-driven initiatives in engineering. The role requires strong Python programming skills, experience with AI technologies, and a solid technical foundation in DevOps practices. Candidates should demonstrate problem-solving abilities and have excellent communication skills for effective collaboration. This position offers an opportunity to work in a transformative environment, shaping the future of engineering with AI solutions.

Qualifications

• Proven experience building internal tooling and platforms.
• Hands-on experience with LLMs or related AI technologies.
• Strong knowledge in DevOps practices and cloud technologies.
• Strong Python programming skills and AI/ML library experience.
• Ability to design user-centric solutions.
• Experience leading projects from inception to delivery.
• Excellent communication and collaboration skills.

Responsibilities

• Identify opportunities to apply AI to improve engineering processes.
• Define the approach for AI adoption within engineering.
• Share knowledge and foster a culture of learning around AI.
• Find creative solutions to enhance efficiency through AI.
• Lead the engineering hiring process and assessments.

Skills

Problem-solving

AI technologies

DevOps

Python programming

User experience design

Leadership

Communication

Tools

AWS

Terraform

GitLab

Docker

PyTorch

Hugging Face Transformers

scikit-learn

TensorFlow

Job description

Overview

we are transforming the traditional insurance industry with our groundbreaking SaaS platform, hx Renew. Insurers use it to build complex mathematical models that enable smarter, faster pricing decisions—whether it's calculating the cost to insure a global superstar's concert tour or protecting entire states from natural disasters. With hx Renew, insurers can rapidly develop and iterate pricing models in Python and React within a modern software environment, free from the burden of legacy tech. This agility has made our product the go-to platform for insurers worldwide. In five years, our winning formula has earned the trust of industry giants like Aviva and Top 5 US insurers, as well as cutting-edge innovators like Convex and Inigo. Our engineering team—made up of some of the brightest (and kindest!) minds in the industry—pushes technological boundaries every day through creative innovation and regular hackathons.

Responsibilities

• Lead AI-driven initiatives: Identify opportunities to apply AI in meaningful ways that improve how engineers work, automating repetitive tasks, accelerating decision-making, and improving productivity.
• Shape AI adoption at hx: As the person leading this effort, you'll define the approach to incorporating AI into engineering workflows, helping us discover and implement the best AI tools and techniques that will drive real impact.
• Collaborate and share knowledge: Make AI accessible to your teammates by sharing knowledge, fostering a culture of learning, and empowering others to contribute to AI-driven projects. You'll help others grow their skills and contribute to AI initiatives.
• Push the boundaries of what's possible: Always be on the lookout for ways AI can make us faster, more efficient, and more effective. You'll tackle challenges and find creative solutions that shape the direction of AI within the technology department.
• Engineering process and hiring steps: Initial chat with our Talent team to kick things off; Manager Interview (60 minutes); Technical Assessment (120 minutes); Values Interview (60 minutes).

Qualifications

• Proven problem solver: Proven experience building internal tooling and platforms to support engineering teams
• Experience with AI technologies: Hands-on experience working with LLMs or related AI technologies, with a practical understanding of how to apply them effectively to real-world developer workflows.
• Solid technical foundation: Strong experience in DevOps practices with hands-on knowledge of cloud technologies (AWS), infrastructure as code (Terraform), CI / CD pipelines (GitLab), and containerization (Docker).
• Strong Python programming skills: Strong programming skills in Python, including its ecosystem for AI / ML, with experience using libraries such as PyTorch, Hugging Face Transformers, scikit-learn, and TensorFlow to build and implement AI-driven solutions.
• Product mindset: Ability to think from the user's perspective and design solutions that align with developer needs, improving their experience and productivity.
• Leadership and ownership: Experience taking ownership of projects, leading initiatives from inception to delivery, and driving impactful results that align with team and business goals.
• Excellent communication and collaboration skills: Ability to clearly explain complex technical concepts to both technical and non-technical stakeholders, empowering teammates to get involved and contribute to AI-driven initiatives.

Note

Please note that background checks will be conducted as part of the hiring process to ensure compliance with our governance policies. We handle all background checks sensitively and in full compliance with relevant regulations. All applicant data will be processed in accordance with data protection regulations and our privacy policy.