AI Native Systems Engineer

Syntax Consultancy Ltd; City Of London; Hybrid; GBP 80,000 - 105,000; Full time

Benefits offered by this job

Hybrid work in London

Job summary

Syntax Consultancy Ltd. is seeking an AI Native Systems Engineer for a 6‑month rolling contract in London, with hybrid work.

The role involves leading AI-enabled, cloud-native systems delivering across data and operations, and hands-on engineering from concept to production. Responsibilities include translating business problems into robust designs, guiding software teams, and leveraging AI-assisted tools for coding, testing, and documentation.

Qualifications

• Experience designing AI-enabled, cloud-native, data-intensive systems.
• Strong knowledge of algorithms, data structures, concurrency, OS, networking, APIs, integration patterns.
• Architectural leadership and ability to guide software engineering teams.

Responsibilities

• Own the system engineering discipline from problem framing to release and operation.
• Design complex software architectures and lead technical direction.
• Hands-on role delivering from concept to production with AI-assisted tooling.
• Validate, govern, and improve AI-generated engineering artefacts.

Skills

Go

Rust

C/C++

Java

Python

APIs

Distributed systems

Tools

AWS

Linux

CI/CD

Containers

Data platforms

Observability

Job description

AI Native Systems Engineer

6 Month Contract

London (Hybrid)

£500/day (Outside IR35)

AI Native Systems Engineer needed for a 6 Month Rolling Contract based in London (Hybrid). Start ASAP ideally September 2026.

Hybrid Working – 2-3 days/week remote (WFH) + 2-3 days/week working from the office in London. Paying up to £500/day (Outside IR35).

Working with a global IT Consultancy supporting the client's transition towards delivery models utilising AI agents to streamline systems software + operations:

• AI Native Systems Engineer is a technical leadership role designing AI-enabled, complex cloud-native + data-intensive systems that support Network Operations across RAN, data + automation domains.
• Owning the system engineering discipline, translating business problems into robust technical designs + ensuring AI-assisted delivery remains governed, secure + outcome-focused.
• Owning complex technical designs from early problem framing through to release + operational support.
• A 'hands-on' role responsible for technical outcomes from concept to production.
• Practical experience using AI-assisted engineering tools + coding agents to improve software delivery, testing + documentation.
• Experience of AI-assisted engineering tools and how to validate, govern and improve AI-generated engineering artefacts.
• Experience in designing complex software systems, distributed systems, data platforms + cloud-native services.
• Architecture and design leadership: ability to set technical direction, resolve complex design trade-offs + guide software engineering teams.
• Strong experience of algorithms, data structures, concurrency, operating systems, networking, APIs, integration patterns + performance trade-offs.
• AWS Cloud computing platforms, including architecture patterns, security, observability + deployment.
• Strong background in Software Architecture, systems engineering, distributed systems or complex cloud-native platform delivery.
• Programming languages: Go, Rust, C/C++, Java, Python.
• Desirables: AWS Solutions Architect Associate certification, Telecoms, AIOps, Network Ops, RAN/Core Analytics, Data Engineering, anomaly detection, RCA, lakehouse/agent orchestration patterns