Senior AI Architect / Product Manager

The Senior AI Architect / Product Manager is responsible for leading the design, development, and strategic implementation of AI-driven products and solutions across the organisation. This role bridges technical architecture and product leadership to ensure that AI initiatives align with business goals, deliver measurable value, and maintain scalability and innovation. Key Responsibilities Design and optimise AI architectures for complex, enterprise-scale systems, ensuring seamless integration with existing infrastructure and data pipelines. Develop and implement AI-driven products and solutions that meet business requirements, leveraging expertise in machine learning, deep learning, and natural language processing. Collaborate with cross-functional teams to define product roadmaps, prioritise features, and ensure successful product launches. Drive the development of AI-powered tools and platforms that enable data-driven decision making, predictive analytics, and real-time insights. Foster a culture of innovation, experimentation, and continuous learning within the organisation, staying up-to-date with the latest advancements in AI research and technology. Develop and maintain relationships with key stakeholders, including business leaders, technical teams, and external partners to ensure alignment and effective communication. Provide thought leadership and strategic guidance on AI initiatives, ensuring they align with organisational goals and objectives. Ensure compliance with relevant regulations, standards, and best practices for AI development and deployment. Identify and mitigate potential risks associated with AI projects, ensuring responsible and ethical use of AI technologies. Develop and manage budgets, resources, and timelines for AI-related projects, ensuring effective prioritisation and allocation of resources. Provide regular progress updates to stakeholders, highlighting achievements, challenges, and lessons learned. Drive the development of AI-powered products and solutions that meet business requirements, leveraging expertise in machine learning, deep learning, and natural language processing. Develop and maintain relationships with key stakeholders, including business leaders, technical teams, and external partners to ensure alignment and effective communication. Provide thought leadership and strategic guidance on AI initiatives, ensuring they align with organisational goals and objectives. Ensure compliance with relevant regulations, standards, and best practices for AI development and deployment. Identify and mitigate potential risks associated with AI projects, ensuring responsible and ethical use of AI technologies. Develop and manage budgets, resources, and timelines for AI-related projects, ensuring effective prioritisation and allocation of resources. Provide regular progress updates to stakeholders, highlighting achievements, challenges, and lessons learned.