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Engineering Architect

Job in Bath, Somerset County, BA1, England, UK
Listing for: YTL UK
Full Time position
Listed on 2026-09-20
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 90000 - 130000 GBP Yearly GBP 90000.00 130000.00 YEAR
Job Description & How to Apply Below

As our new Engineering Architect, you will own and evolve the technical foundations that underpin product and service delivery, including engineering standards, development frameworks, CI/CD pipelines, testing harnesses, observability, and operational practices.

Your focus will be on enabling a fast-moving, AI-first delivery team to consistently deliver high-quality, scalable, and supportable solutions without needing to rebuild core foundations for every delivery cycle.

What you'll do

In this varied role, you will:

  • own and version technical foundations across all seven harness dimensions (Security, performance, coding style, UI/UX baselines, logging and observability, testing) so that every deliverable inherits secure, observable and tested defaults
  • build and maintain the shared ADO CI/CD pipelines and release governance so that standards are enforced automatically, and DORA metrics are produced from the pipeline itself
  • own the light-touch technical governance model - automated gates over committee review
  • ensure observability is instrumented from the first commit through to live running so that everything the team ships can be operated and handed over to a receiving product team
  • contribute hands-on as a full-stack builder inside each delivery's time box so that the harness stays credible and drift is caught in days rather than at cycle end
  • own the design and hands-on running of the delivery stack end to end - application architecture, containerisation, virtualisation, networking and deployment topology - so that what the team builds can be stood up, scaled and supported in the Azure estate without external dependency
  • shape deliveries as one of three leads, testing technical feasibility and setting the no-gos, so that committed work stays inside its appetite
  • represent the team's technical position in assurance, security and enterprise architecture conversations
  • proactively track industry trends, emerging tools and agentic engineering practice, and self-initiate the learning needed to apply them - trialling promising techniques and approaches in cooldown and sharing what works back into the harness, rules files and skills library.
What you'll need

We are looking for:

  • deep, current full stack engineering capability with hands-on delivery in an Azure and Azure Dev Ops (ADO) ecosystem using infrastructure as code approaches
  • strong practical coding experience in Python and JavaScript/Type Script, with the fluency to work across back-end services, front-end interfaces and automation scripting
  • sound stack design judgement, with working knowledge of containerisation, virtualisation and networking sufficient to design, deploy and troubleshoot applications across Azure environments
  • proven ownership of CI/CD pipelines, infrastructure-as-code, release governance and DORA-based delivery measurement
  • strong grounding in security (secret management, dependency and static analysis scanning, least-privilege IAM), observability (structured logging, tracing and metrics) and test and evaluation automation
  • practical experience of AI-first, agentic delivery - rules files, known-good templates, curated skills libraries and evaluation harnesses for AI-generated output
  • ability to codify standards as machine-readable scaffolding rather than documentation, and to balance light-touch governance against delivery speed
  • credibility to represent the team's technical position with enterprise architecture, security and assurance functions
  • experience designing and delivering production-grade AI software systems across different domains
  • proven expertise in designing and/or implementing generative AI systems in production, including agentic systems, RAG pipelines, tool-use patterns, and model adaptation strategies
  • practical experience in retrieval and knowledge systems
  • breadth of knowledge across modern AI technologies, including generative models, deep learning, and predictive ML.
What you'll receive
  • A combined pension contribution of up to 20%.
  • Career progression and professional development opportunities.
  • 25 days' holiday rising to 28 with length of service.
  • The opportunity to sell up to five days of holiday every year.
  • The opportunity to buy up to ten days of holiday each year (subject to conditions).
  • A healthcare package that allows you to claim back healthcare costs.
  • Life assurance of up to eight times your salary.
  • The opportunity to lease a new electric car through salary sacrifice (subject to conditions).
  • Cashback and discounts from more than 3,000 retailers.
  • One paid volunteering…
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