AI Engineering Manager - Leading Tech firm

We are partnering with a leading international consumer-facing organisation that is investing heavily in AI as part of its next phase of growth. AI is a strategic priority with strong executive sponsorship, and this role offers a rare opportunity to shape how AI products, platforms, and capabilities are built and scaled across a large customer base.

This is not a research-focused role. You will be responsible for delivering customer-facing AI solutions that drive measurable business outcomes, improving customer experience, increasing operational efficiency, and accelerating speed to market. As AI Engineering Manager, you will lead the development of next-generation AI capabilities including conversational AI, voice AI, AI agents, GenAI-powered customer experiences, and intelligent automation, while building and leading a high-performing team.

Key Responsibilities

• Build, mentor, and scale a high-performing AI Engineering team

• Lead the delivery of production-grade AI solutions across conversational AI, voicebots, AI agents, GenAI, and automation use cases

• Define and execute the AI engineering strategy aligned to business objectives

• Drive AI initiatives from proof of concept through deployment and ongoing optimisation

• Partner with Product, Customer Experience, Marketing, Technology, Data, Governance, and Security teams

• Translate business priorities into scalable AI products and services

• Establish best practices for AI engineering, MLOps, deployment, monitoring, evaluation, and governance

• Define and track KPIs focused on customer satisfaction, operational efficiency, automation, and time-to-market

• Build an AI Centre of Excellence to support wider AI adoption across the organisation

• Evaluate emerging AI technologies and identify opportunities to create competitive advantage

Required Experience

• Proven experience leading AI, Machine Learning, or Software Engineering teams

• Strong hands-on technical background with Python and cloud platforms (AWS, Azure, or GCP)

• Experience delivering AI products into production environments with measurable business impact

• Strong understanding of LLMs, RAG, prompt engineering, and modern AI architectures

• Experience building or deploying conversational AI, voice AI, chatbots, virtual assistants, AI agents, or other customer-facing AI products

• Strong understanding of MLOps, deployment pipelines, monitoring, and AI governance

• Ability to influence senior stakeholders and translate business challenges into scalable technical solutions

What's on Offer

• Opportunity to shape AI strategy within a growing international business

• Significant executive sponsorship and investment in AI

• Ownership of a growing AI Engineering function

• Hybrid working with flexibility

• The chance to build AI products used by a large and diverse customer base