Senior AI Software Engineer / Platform Architect London A global leader in strategy and innovation is seeking a Senior AI Software Engineer / Platform Architect to join their advanced data and AI engineering division. You'll be part of a world-class team delivering cutting-edge AI solutions that tackle complex, high-impact business challenges across multiple sectors. The tech build & design unit of a leading global management consulting firm. With a team of nearly 3,000 technologists, scientists, programmers, engineers, and designers across 80 cities worldwide, they build and design cutting-edge platforms and software solutions to drive innovation and digital transformation for organizations. This is a unique opportunity to shape and deploy state-of-the-art AI platforms within large-scale digital transformation programmes. You'll work end-to-end across the analytics lifecycle-from designing scalable data and AI infrastructure to collaborating directly with stakeholders on product evolution. Location: London (Hybrid - 3 days/week in office or client site) - flexibility for travel required Start Date: ASAP No sponsorship available Remuneration: Highly Competitive & Flexible (starting from ~ £80,000 package - depends on experience and how you are graded by the end of the process) Key Responsibilities: Design and build enterprise-grade AI and data platforms tailored to a broad range of use cases. Lead platform architecture work spanning cloud, data, DevOps, MLOps and LLMOps domains. Contribute to full software development lifecycle with a strong focus on performance and maintainability. Collaborate cross-functionally with consulting and engineering teams to guide best practices. Drive innovation using tools such as Terraform, MLflow, AzureML, LangSmith, and more. Technical Requirements: Advanced proficiency in Python and modern software engineering practices. Experience architecting solutions using major cloud platforms (Azure, AWS, GCP). Familiarity with technologies such as Databricks, Airflow, dbt, Snowflake, GitHub CI/CD, and infrastructure-as-code. Strong background across at least several of the following areas: Cloud Engineering, Data Platform Architecture, DevOps, MLOps/LLMOps. Ideal Profile: Proven track record designing AI-ready infrastructure and platform components. Enjoys solving complex problems collaboratively and influencing technical strategy. Effective in fast-paced environments with direct client exposure. Naturally curious and motivated by impactful, real-world applications of AI. If you think you are a good fit for the position, please click apply! McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.