You'll design and implement scalable AI and Generative AI solutions using Azure OpenAI, Cognitive Services, RAG patterns and API-based integrations.
You'll integrate and configure off-the-shelf Agentic AI components, enabling autonomous task planning, tool-use, reasoning workflows and agentic orchestration.
You'll develop robust agentic system patterns including memory structures, action-loop orchestration, tool integration and multi-agent coordination.
You'll lead development of secure, auditable and production-grade AI systems leveraging Azure networking, infrastructure and cloud engineering best practices.
You'll build and maintain CI/CD pipelines in Azure DevOps for automated deployment, versioning and operationalisation of AI services and components.
You'll develop automated testing, validation and monitoring frameworks to ensure AI model performance, reliability and ongoing optimisation.
You'll establish and promote best practices for AI data pipelines, MLOps/AIOps, cloud infrastructure alignment and scalable architecture design.
You'll collaborate with Data Science, Data Engineering, Software Engineering and Enterprise Architecture teams to deliver end-to-end AI solutions from concept to production.
You'll engage business stakeholders to identify opportunities for AI adoption, build understanding and translate strategic needs into practical AI solutions.
You'll promote organisational AI capability through training, mentoring, knowledge-sharing and fostering a culture of innovation.
You'll ensure compliance with the Group Code of Conduct, company guidelines, and relevant regulatory standards at all times.

We're seeking Senior Engineers with deep technical expertise in AI technologies, particularly in areas such as Azure OpenAI, Cognitive Services, prompt engineering, Retrieval-Augmented Generation (RAG) architectures, vector stores, and API integrations. You'll be able to demonstrate substantial experience in Azure networking and infrastructure, enabling you to effectively design, and manage secure cloud-based AI environments. This includes leveraging off-the-shelf agentic AI components and orchestrating their integration into robust, scalable agentic systems to accelerate the delivery of intelligent automation outcomes.
Python & AI Frameworks: Advanced proficiency in Python, with familiarity in AI frameworks such as LangChain.
AI Ops & Cloud Production Environments: Skilled in designing and operationalising AI Ops frameworks within cloud-based production environments.
Communication & Stakeholder Engagement: Exceptional communication skills, with the ability to clearly articulate technical concepts to diverse stakeholders.
Organisation & Time Management: Excellent organisational, time management, and prioritisation skills.
Analytical & Problem-Solving Ability: Strong analytical and problem-solving skills, capable of quickly diagnosing and resolving technical issues., Proven experience designing, developing, deploying, and managing production-grade AI and Generative AI systems.
Extensive experience with Cloud-based AI and Cognitive Services, and Retrieval-Augmented Generation (RAG) architectures.
Deep expertise in API integration, preferably within the Azure ecosystem.
Experience with Infrastructure as Code (IaC) across development, testing, and production environments.
Solid understanding of Azure networking principles, security frameworks, and infrastructure best practices.
Experience configuring and operationalising off-the-shelf Agentic AI components (e.g., planners, tool-executors, memory modules) within enterprise environments.
Knowledge of agent orchestration frameworks and multi-step autonomous workflow design.
Practical experience integrating agentic systems with existing microservices and APIs to enable tool-based reasoning and action.
Practical experience applying agile methodologies to AI and software development projects.
Comprehensive knowledge of Continuous Integration and Continuous Deployment (CI/CD) practices and tools (Azure DevOps preferred).
Experience with microservices architecture, RESTful API development, and system integration.
Prior experience in financial services or insurance sectors advantageous.
Familiarity with AzureML, Databricks, related Azure technologies, Docker, Kubernetes, and containerization is advantageous.
Advanced proficiency in Python, and familiarity with AI frameworks such as LangChain
Skilled in designing and operationalising AI Ops frameworks within cloud-based production environments.
Exceptional communication skills, clearly articulating technical concepts to diverse stakeholders.
Excellent organisational, time management, and prioritisation skills.
Strong analytical and problem-solving skills, capable of quickly diagnosing and resolving technical issues.
Embrace, embed and incorporate the company values
Self-motivated and enthusiastic
An organised and proactive approach
Strong stakeholder management
Ability to work on own initiative and as part of a team
A flexible approach and positive attitude
Strives to drive business improvements to contribute to the success of the business

2 1st Central jobs in England & Wales