Principal AI & High-Performance Systems Architect

KX; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Training & development

Private healthcare

Maternity/Paternity package

Job summary

KX is seeking a principal-level Forward Deployed Engineer to architect AI-enabled data systems for top financial clients. You will be the technical authority, delivering production-ready designs and benchmarks while shaping how KX integrates with client data estates.

Hybrid work from London or Dublin applies, with occasional client-site visits. You will influence architecture across AI platforms, data processing, and high-performance computing, partnering with quants, traders and risk teams to

Qualifications

• Experience delivering production AI/data platforms at scale.
• Strong cloud architecture and Python skills.
• Ability to engage CTOs and senior engineers.
• Desirable: time-series stores or q/kdb+ experience.

Responsibilities

• Lead through to first production outcomes, not slides.
• Design a single coherent system spanning KX tech and customer data.
• Benchmark and prototype on real customer data with publishable results.
• Define engagement hypotheses and evaluation framework.
• Build reusable assets and accelerators for future engagements.
• Inform the product roadmap from repeated customer requirements.

Skills

Distributed systems

Real-time processing

Streaming architectures

System performance

Cloud architecture

Python

AI systems

Agent architecture

CTO-level talks

Capital markets

GPU/accelerated compute

Evaluation frameworks

Benchmarking

Secure enterprise environments

Q/KDB+

C/C++/Rust

Time-series stores

Functional languages

Job description

KX is seeking a principal-level Forward Deployed Engineer to architect AI-enabled data systems for top financial clients. You will be the technical authority, delivering production-ready designs and benchmarks while shaping how KX integrates with client data estates.

Hybrid work from London or Dublin applies, with occasional client-site visits. You will influence architecture across AI platforms, data processing, and high-performance computing, partnering with quants, traders and risk teams to