AI Developer

Responsibilities

As an AI Developer, you will design, build and deploy AI-powered applications and workflow automation solutions that support business transformation and operational efficiency. You will work with enterprise applications, cloud services and diverse data sources to deliver secure, scalable and maintainable solutions. In collaboration with business, data, technology and architecture teams, you will contribute throughout the development lifecycle, from solution design and integration through testing, deployment, monitoring and continuous improvement.

Your main responsibilities will include:

·       Design, develop, test and deploy AI-powered applications, intelligent tools and workflow automation solutions.

·       Integrate enterprise applications with AI services through REST APIs, Model Context Protocol (MCP), event-driven architectures and workflow orchestration platforms.

·       Work with structured, semi-structured and unstructured data sources to build scalable and reliable AI solutions.

·       Develop data-integration components connecting AI applications with enterprise data warehouses, data lakes, analytics platforms and vector databases.

·       Build and maintain CI/CD pipelines and apply DevOps practices throughout the AI application lifecycle.

·       Deploy and operate AI solutions on Microsoft Azure in line with enterprise architecture, security and development standards.

·       Optimise AI workflows and applications for reliability, scalability, observability, performance and cost efficiency.

·       Implement appropriate testing, monitoring, logging and technical documentation to support controlled deployment and ongoing maintenance.

·       Collaborate with business and technical stakeholders to translate requirements into practical AI solutions and support adoption.

·       Contribute to code reviews, knowledge sharing and the continuous improvement of development standards and reusable components.

·       Comply with applicable information-security, data-protection, risk and internal policy requirements.

·       Undertake additional duties as required.

Profile required

·       Strong development skills in Python and working knowledge of .NET/C# for enterprise applications and integrations.

·       Experience designing and integrating REST APIs, Model Context Protocol (MCP) components and event-driven or orchestrated workflows.

·       Hands-on experience with Git, CI/CD pipelines and DevOps practices for building, testing and deploying applications.

·       Experience integrating structured, semi-structured and unstructured data using relational, document and vector databases.

·       Familiarity with developing AI solutions using Microsoft Azure and Azure AI Foundry capabilities.

·       Experience connecting enterprise data platforms, such as data warehouses, data lakes, Databricks or Snowflake, to applications and AI services.

·       Understanding of cloud architecture, application security, observability, scalability and cost optimisation principles.

·       Strong analytical and problem-solving skills, with the ability to translate business requirements into reliable and maintainable technical solutions.

·       A collaborative and delivery-focused approach, with clear communication, sound documentation and a commitment to continuous learning.