Senior AI Engineer

Allianz; Guildford; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

A leading insurance technology firm in the United Kingdom seeks an AI Solutions Engineer to design, develop, and deliver advanced Artificial Intelligence and Machine Learning systems. The role involves end-to-end management of AI projects, ensuring scalable and production-ready AI solutions. Ideal candidates will have expertise in generative AI, machine learning, and strong programming skills in Python. Experience with cloud platforms and MLOps is crucial for success in this position. Excellent communication skills are also required for collaboration across teams.

Qualifications

• Bachelor's degree in relevant field is essential.
• Experience in developing advanced AI solutions in production.
• Strong programming skills in Python and knowledge of MLOps.

Responsibilities

• Design and implement AI solutions for complex business challenges.
• Develop and maintain machine learning pipelines.
• Ensure integration and operational excellence in AI deployment.

Skills

Generative AI

Agentic AI

Machine Learning

Deep Learning

Python

MLOps

Docker

Kubernetes

Big Data (Spark, Kafka)

Cloud Platforms (AWS, Azure, GCP)

Education

Bachelor's degree in Computer Science, Engineering, or Data Science

Tools

Langchain

Semantic Kernel Agent SDK

Job description

Overview

The purpose of this role is to design, develop, and deliver advanced artificial intelligence and Machine Learning solutions driving innovation and business value. The role exists to build robust, scalable, and production-ready AI systems by applying deep technical expertise across software engineering, cloud platforms, and operational best practices. They act as a technical leader, guiding the end-to-end AI lifecycle, from ideation and development to production deployment and monitoring

Salary Information

Pay is based on relevant experience, skills for the role, and location. Salary is only one part of our total reward package.

Location: Guildford or London

About You

AI Solution Development:

• Designs and implements advanced artificial intelligence models and systems, including generative and agentic AI, to address complex business challenges.

End-to-End Pipeline Engineering:

• Develops and maintains scalable data and machine learning pipelines, ensuring seamless integration from data ingestion through model deployment and monitoring.

Cloud Platform Delivery:

• Works with AI Architects to design and delivers AI solutions on major cloud platforms, ensuring reliability, scalability, and security in production environments.

Operational Excellence:

• Implements best practices in MLOps and DevOps, including continuous integration, continuous deployment, and automated testing, to ensure efficient and reliable AI delivery.

Performance Optimization:

• Monitors, evaluates, and optimizes the performance of AI models and infrastructure for accuracy, e

Technical Leadership:

• Provides technical guidance and mentorship to engineering and data science teams, fostering a culture of innovation and high-quality software development.

Collaboration and Communication:

• Collaborates with cross-functional teams and communicates complex technical concepts to both technical and non-technical stakeholders, ensuring alignment and successful delivery of AI initiatives.

Research and innovation:

• Stay current with the latest AI/ML trends, research papers, and emerging technologies. Proactively experiment with new ideas and integrate relevant innovations into practical solutions.

Essential Skills

Technical Skills:

• Demonstrates expertise in designing, developing, and deploying generative and agentic AI solutions, Computer Vision, with an excellent understanding of large language models and autonomous agents.
• Applies advanced knowledge of machine learning, deep learning, and AI frameworks such as Langchain, Semantic Kernel agent SDK and related libraries.
• Designs and delivers AI solutions on leading cloud platforms (Amazon Web Services, Microsoft Azure, Google Cloud Platform), leveraging native AI/ML services and cloud-native architectures.
• Develops and manages robust data pipelines, big data technologies (e.g., Spark, Kafka), and data management practices for feature stores and training data.
• Implements best practices for the machine learning lifecycle, including model versioning, CI/CD, containerization (Docker), orchestration (Kubernetes), and automated monitoring.
• Demonstrates excellent programming skills in Python and other relevant languages, with a solid foundation in software engineering principles for building production-grade systems.
• Applies knowledge of governance, security, and compliance requirements to ensure responsible and ethical AI development and deployment.
• Adaptability: The ability to learn and adapt quickly in the rapidly evolving field of AI.

Qualifications

• Bachelor\'s degree in Computer Science, Engineering, Data Science, or related field (MBA or advanced degree a plus).

Experience

• Experience designing, developing, and deploying advanced AI solutions, including generative and agentic AI, in production environments.
• Experience of working in Insuretch across Claims, UW, Pricing and customer engagement.
• Experience building and maintaining scalable data and machine learning pipelines using modern big data and cloud technologies.
• Experience applying MLOps and DevOps best practices, including CI/CD, containerization, and automated testing.
• Experience working with cross-functional teams, including data scientists, engineers, and business stakeholders, to deliver impactful AI solutions.
• Experience communicating complex technical concepts to diverse audiences and driving alignment across teams.

We support the government scheme "Access to Work" please feel free to ask us about the access to work scheme.