Job Description
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.