Principal AI-Native System Enigneer

BT Group

West of England

On-site

GBP 110,000 - 140,000

Full time

2 days ago
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Benefits offered by this job

Bonus 15%
Car allowance
Private healthcare
BT Pension
Parental leave
25 days annual leave
Flexible benefits
Training & development
BT Shares
Discounts

Job summary

BT Group is seeking a Principal AI-Native Systems Engineer to lead the design and delivery of cloud-native, data-intensive, AI-enabled systems across RAN, Core, data and automation domains. The role is hands-on and accountable for outcomes from concept to production, working with users, architects, product owners and engineers to ensure secure, testable and value-driven solutions.

You will shape end-to-end architecture, set standards, and drive AI-assisted delivery while maintaining human

Qualifications

  • Experience designing complex software systems and distributed architectures.
  • Practical use of AI-assisted engineering tools or agents.
  • Strong fundamentals in algorithms, data structures, concurrency, networking, APIs.
  • Knowledge of cloud platforms and security, observability, cost considerations.
  • Ability to translate user needs into clear specs and acceptance criteria.

Responsibilities

  • Define end-to-end AI-native, cloud-native system architecture.
  • Turn business problems into deterministic technical specifications and acceptance criteria.
  • Orchestrate AI agents to accelerate design, coding, testing and deployment while maintaining accountability.
  • Set reusable engineering patterns, governance and review criteria for AI-assisted delivery.
  • Design scalable, secure, observable data pipelines and systems across cloud platforms.
  • Partner with test engineers to ensure production readiness and compliance.
  • Communicate complex concepts to senior stakeholders and users.
  • Coach engineers in AI-native practices and accountable decision-making.
  • Drive continuous improvement from delivery feedback and production signals.

Skills

Systems engineering
AI-native engineering mindset
Cloud platforms
Go
Rust
C/C++
Java
Python
Architecture leadership
Quality & governance
Communication
Learning agility
Distributed systems
AI-assisted tooling
CI/CD / IaC
Security controls
Requirements gathering

Tools

AWS
CI/CD
Terraform
Kubernetes
Observability tooling

Job description

Recruiter: Luke Byrne

Career Grade:CLC

Location: UK Wide offices - include - London, Manachester, Bristol, Ipswich or Birmingham

About the role

The Principal AI-Native Systems Engineer is a senior technical leadership role within DD Ops, accountable for designing and engineering complex cloud-native, data-intensive and AI-enabled systems that support network operations outcomes across RAN, Core, data and automation domains.

This role matters because BT is moving from large, coordination-heavy delivery models towards small expert engineering pods that use AI agents as force multipliers. The Principal AI-Native Systems Engineer owns the system engineering discipline, translates business problems into robust technical designs, and ensures that AI-assisted delivery remains governed, secure, testable and outcome-focused.

The role is hands-on and accountable for technical outcomes from concept to production. It works directly with users, architects, product owners, software engineers, test engineers and technical business analysts to ensure the right solution is specified, built, validated and operated.

What you’ll be doing
  • Own system architecture: You will define the end-to-end architecture for AI-native, cloud-native and data-intensive systems, including system boundaries, interfaces, data contracts, resilience patterns and operational controls.
  • Lead specification-first engineering: You will work directly with users and stakeholders to turn business problems into deterministic technical specifications, acceptance criteria and non-functional requirements.
  • Direct AI-native delivery: You will use and orchestrate AI agents to accelerate design, coding, testing, documentation, infrastructure and deployment activities while retaining human accountability for correctness and quality.
  • Set engineering standards: You will define reusable engineering patterns, guardrails, templates, prompts, review criteria and governance practices for AI-assisted software delivery.
  • Design distributed systems: You will design scalable, secure and resilient systems across cloud platforms, APIs, event-driven architectures, data pipelines and observability patterns.
  • Assure quality and production readiness: You will partner with AI-Native Test Engineers to ensure generated and human-authored outputs meet functional, security, performance, resilience and operational acceptance criteria.
  • Influence and communicate: You will translate complex technical concepts into clear language for senior stakeholders, engineers and business users.
  • Coach and develop capability: You will coach engineers in systems thinking, AI-native engineering practices, software fundamentals and accountable technical decision-making.
  • Drive continuous improvement: You will convert delivery learning, incident feedback, cost insights and production signals into improved specifications, agent workflows and reusable delivery accelerators.
Essential Skills / Experience
  • Systems engineering depth: Extensive experience designing complex software systems, distributed systems, data platforms or cloud-native services.
  • AI-native engineering mindset: Practical experience using AI-assisted engineering tools or coding agents to improve software delivery, testing, documentation or design productivity.
  • Technical fundamentals: Strong knowledge of algorithms, data structures, concurrency, operating systems, networking, APIs, integration patterns and performance trade-offs.
  • Cloud and platform experience: Good knowledge of cloud compute platforms, preferably AWS, including architecture patterns, security, observability, deployment and cost considerations.
  • Programming capability: Comfortable with system-oriented or strongly engineered languages such as Go, Rust, C/C++, Java or equivalent; Python experience is desirable for data and automation use cases.
  • Architecture and design leadership: Proven ability to set technical direction, resolve complex design trade-offs and guide engineering teams through ambiguity.
  • Quality and governance: Experience embedding secure-by-design, test-first, observable and compliant engineering practices into delivery workflows.
  • Communication: Able to communicate clearly with users, engineers, product owners and senior leaders, bridging business outcomes and technical decisions.
  • Learning agility: Demonstrates curiosity about how systems work beneath abstraction layers and the ability to learn new technologies quickly.
  • Essential: Strong background in software architecture, systems engineering, distributed systems or complex cloud-native platform delivery.
  • Essential: Experience owning complex technical designs from early problem framing through production release and operational support.
  • Essential: Demonstrable understanding of AI-assisted engineering tools and how to validate, govern and improve AI-generated engineering artefacts.
  • Essential: Experience working with cloud services, CI/CD, Infrastructure as Code, observability, security controls and production support models.
  • Essential: Ability to work directly with users to clarify requirements, define acceptance criteria and ensure delivered outcomes match the original need.
  • Desirable: AWS Solutions Architect Associate or Professional certification, or equivalent cloud architecture experience.
  • Desirable: Experience in telecoms, network operations, RAN/Core analytics, data engineering, AIOps, anomaly detection, RCA or operational automation.
  • Desirable: Experience with event-driven architectures, lakehouse patterns, streaming data, model-assisted development or agent orchestration patterns.
Our Package
  • 15% on target bonus
  • Company car or £5,500 cash alternative
  • Private healthcare for self and family
  • BT Pension scheme, minimum 5% Employee contribution, BT contribution 10%
  • From January 2025, equal family leave: receive 18 weeks at full pay, 8 weeks at half pay and 26 weeks at the statutory rate. It’s for all parents, no matter how your family is made up.
  • 25 days annual leave (not including bank holidays), increasing with service
  • Huge range of flexible benefits including cycle to work, healthcare, season ticket loan
  • World-class training and development opportunities
  • Option to join BT Shares Saving schemes.
  • Discounted broadband, mobile and TV packages
  • Access to 100’s of retail discounts including the BT shop

BT Group is the UK’s leading communications group and the holding company behind some of the country’s most recognised brands – including BT, EE, Openreach and Plusnet. Our purpose is as simple as it is ambitious: we connect for good. Our customers include consumers, small, medium and large businesses, public sector organisations and other communications providers.

BT Group’s role is about setting direction, unlocking value and creating the conditions for our brands and businesses to thrive.

Having come through the most capital-intensive phase of our fibre investment, our focus now is on what comes next – simplifying how we operate, using technology and AI to work smarter, and organising ourselves to serve customers better and grow sustainably. Group teams shape strategy, policy, brand, capital allocation and transformation, helping the whole organisation perform at its best.

We have a singular culture that unites all our people: we are customer-first challengers, who are committed, clear and connected. These behaviours unite us as one team to deliver for our colleagues, our customers, our stakeholders and the country. Joining BT Group means working at the heart of a business that matters to the UK, with the opportunity to shape decisions, influence outcomes and help set the future course of one of the country’s most important companies.

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