Senior AI Software Engineer - Hybrid, High-Impact Delivery

Vodafone Group Plc; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

Vodafone Group Plc's VOIS arm is seeking a Lead AI Software Engineer in Newbury or Paddington (hybrid). You will lead software delivery across squads, translate designs into scalable, secure production code, and mentor engineers and AI coding agents.

The role blends deep software engineering with AI-native practices, overseeing code quality, testing, observability, deployment readiness, and governance while ensuring outputs are explainable and compliant with standards.

Qualifications

• Significant production‑grade software experience in complex environments.
• Proven ability to lead software implementation within agile teams or domains.
• Excellent ability to translate designs into actionable implementation plans.
• Strong code review and validation of AI-generated software outputs.

Responsibilities

• Lead build execution within a squad, platform capability, or engineering domain.
• Translate specifications and designs into clear implementation plans and tasks.
• Decompose designs into small, testable delivery increments.
• Guide engineers and AI coding agents through implementation, validation, and release activities.
• Deliver and oversee complex, high‑risk software components.
• Review AI‑generated and engineer‑written code for correctness and security.
• Drive automated testing, observability, and production readiness.

Skills

Java

Spring Boot

React/Angular

RESTful APIs

Microservices

Cloud-native

Kafka

CI/CD

Observability

Leadership

Tools

Kafka

RabbitMQ

Job description

Vodafone Group Plc's VOIS arm is seeking a Lead AI Software Engineer in Newbury or Paddington (hybrid). You will lead software delivery across squads, translate designs into scalable, secure production code, and mentor engineers and AI coding agents.

The role blends deep software engineering with AI-native practices, overseeing code quality, testing, observability, deployment readiness, and governance while ensuring outputs are explainable and compliant with standards.