Principal AI-Native System Enigneer

BT Group

Greater London

Vor Ort

GBP 110.000 - 140.000

Vollzeit

vor 2 Stunden
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Benefits dieser Stelle

15% on target bonus
Company car or £5,500 cash alternative
Private healthcare
BT Pension scheme
25 days annual leave
Flexible benefits
World-class training and development
BT Shares Saving schemes
Discounted broadband, mobile and TV

Zusammenfassung

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

The successful candidate will define end-to-end architecture, set engineering standards, and guide teams through complex design

Qualifikationen

  • Extensive experience designing complex software systems and distributed platforms.
  • Experience using AI-assisted engineering tools to improve delivery and design.
  • Strong knowledge of algorithms, data structures, concurrency, networking, APIs, and performance trade-offs.
  • Proficient with cloud compute platforms, especially AWS, including security and observability.
  • Programming in Go, Rust, C/C++, Java; Python knowledge is a plus for data/automation.
  • Ability to set technical direction and guide teams through ambiguity.
  • Secure-by-design, test-first, observable practices in delivery workflows.
  • Excellent communication with users, engineers and senior leaders.

Aufgaben

  • Define end-to-end architecture for AI-native, cloud-native systems.
  • Turn business problems into precise specifications and acceptance criteria.
  • Coordinate AI-native delivery with AI agents while maintaining human accountability.
  • Set reusable engineering patterns and governance for AI delivery.
  • Design scalable, secure distributed systems across cloud platforms and data pipelines.
  • Ensure production readiness with AI-Native Test Engineers.
  • Translate complex tech concepts for senior stakeholders and users.
  • Coach engineers in AI-native practices and decision-making.
  • Drive continuous improvement from incidents and feedback.

Kenntnisse

Systems engineering
AI-native engineering
Technical fundamentals
Cloud platforms (AWS)
Programming languages
Architecture leadership
Quality & governance
Communication
Learning agility
Software architecture
AI-assisted tooling
CI/CD / IaC
Stakeholder collaboration
AWS certification desired
Telecoms exposure

Jobbeschreibung

Job Title: Principal AI-Native System Enigneer

Req ID: 64080

Job Function: Data & AI

Posting Start Date: 28/10/2026

Posting End Date: 11/11/2026

Division: Networks

Job Location: GBR Bristol - Assembly, GBR Ipswich - Adastral Hub, GBR-Birmingham-Three Snowhill, GBR-London-BTHQ One Braham, GBR-Manchester-New Bailey

Advertised Salary: Competitive with great benefits

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

Tailored benefits make a real difference. That’s why we offer a comprehensive range to support your growth, wellbeing, and everyday life.

  • 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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