AI Engineer

• Contribute to the prototyping and deployment of AI and Generative AI solutions to support client pursuits, sector use cases and demonstrations.
• Develop and test LLM-powered applications and agentic workflows under guidance, including tool or function calling patterns.
• Support engineering of data-driven architectures across cloud and on-premises environments.
• Assist in developing scalable AI systems with embedded Responsible AI and security controls.
• Apply MLOps and LLMOps practices including experimentation tracking, model testing and deployment support.
• Build and maintain data pipelines integrating structured and unstructured data sources.
• Work with vector databases alongside relational and NoSQL systems.
• Support deployment of AI workloads using platforms such as AWS and Azure.
• Collaborate with architects, sector teams and engineers to transition proof-of-concepts toward production-ready solutions.

AI Engineer – Consultant, Senior Consultant

• Own the technical direction of CTM's shared AI/ML platform
• Lead the engineering function across the CTM Intelligence Pillar
• Hire well into gaps in the pillar
• Create the conditions for the team to do its best work
• Co-lead the internal AI Guild to build AI/ML capability across CTM’s engineering organisation

Principal Engineer, AI Platform

• Rapidly prototype AI use cases such as summarisation, forecasting, and trend detection
• Work closely with stakeholders to understand business challenges and identify potential AI applications
• Analyse data availability, quality, and suitability for proposed AI solutions
• Conduct feasibility studies and risk assessments for AI use cases
• Develop prototypes and proof-of-concepts to validate assumptions and demonstrate potential impact
• Provide clear recommendations on whether to proceed, pivot, or discard use cases based on findings
• Stay updated on emerging AI technologies and advise on their applicability to business needs
• Contribute to internal knowledge sharing and best practices

• Work closely with stakeholders to understand business problems and translate them into practical technical solutions
• Design and deliver end-to-end solutions in commercial, enterprise, or consulting environments
• Apply AI and ML tools pragmatically to improve workflows, processes, and outcomes
• Use AI development tools such as Claude to accelerate software delivery and improve productivity
• Design and build practical applications that bring together business needs, software engineering, and AI capability
• Contribute to the development of Azure web applications using .NET and C#
• Move confidently between business context, solution design, and technical delivery
• Bring a flexible, concept-driven approach to solving problems across different domains and client environments
• Contribute to solutions that embed AI into real business settings, rather than focusing on research-led model development
• Learn and apply new technologies quickly, adapting to different challenges and delivery contexts
• Work with guidance from senior leaders while taking ownership of your contribution and delivery outcomes

AI Engineer – Software Engineer

• Design, build, and deploy AI-driven solutions that enhance operational efficiency and support sales performance
• Translate real business problems into scalable, production-ready AI solutions
• Deliver end-to-end AI solutions that improve operational and sales efficiency, integrating them across core systems
• Develop agentic workflows and autonomous components using Python, Langflow, and modern AI tooling
• Own the full solution lifecycle, from requirements gathering and stakeholder engagement through to design, testing, and deployment
• Embed AI-driven components into existing applications to enhance functionality and user experience
• Manage and optimise AI infrastructure, including specialised Kubernetes nodes and model orchestration environments, in partnership with SRE and Platform teams
• Apply best practices across testing, documentation, and monitoring to ensure reliable, high-performing solutions
• Stay up to date with emerging AI trends and tools to continuously improve internal capabilities

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AI Engineer – Consultant, Senior Consultant

Principal Engineer, AI Platform

AI Engineer

AI Engineer – Software Engineer

AI Engineer