Senior Platform Engineer (London)
Department: Engineering
Location: London
Employment Type: FullTime
Who are we looking for?
We’re looking for a Senior Platform Engineer to design and scale the architecture that underpins our platform used to build agentic environments. This role will be central to creating reusable, reliable building blocks that teams can leverage across diverse AI use cases.
Success requires a strong grasp of enterprise architecture principles including security protocols, compute and infra management, identity and access controls, architecture design, and system reliability. You’ll be owning the complete lifecycle - from design through production deployment and on-call support.
In this role, you will:
Architect, develop, and operate infrastructure connecting enterprise infrastructure (data, applications, platforms, ontologies, and other incumbent technologies) to LLMs with high performance and reliability
Ensure platform scalability for major enterprise clients while maintaining stability
Implement data access controls and authentication within production model and agent systems
Partner with product, research, and forward-deployed engineering teams to optimize production deployments and task execution
Own system reliability, including on-call participation for critical incidents
You might thrive in this role if you have:
6+ years as an engineering manager of a product or platform team, or as a senior technical product manager, within a high-performing tech or startup environment. Ideally experienced with enterprise products
Have strong experience deploying and managing software systems in customer-controlled infrastructure and networks
Experience integrating with core enterprise systems (e.g. Salesforce), modern data warehouses (e.g. Snowflake), context layers (e.g, Palantir), and various external APIs
Proven ability to build reusable modules, SDKs, or internal developer platforms
Experience supporting machine learning training infrastructure or GPU clusters
Background at AI research labs, high-performance computing centers, or ML-focused companies
Published work on distributed systems, infrastructure, or performance optimization
The details, flexible for the right candidate
Location: London
Competitive compensation
Full time role
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